SKILLS

Technical Strengths

  • Programming Languages: Python, SQL, C/C++, Java
  • Machine Learning Frameworks & Libraries: Pandas, NumPy, TensorFlow, PyTorch, Scikit-Learn, OpenCV
  • Testing Frameworks: Selenium, Silk4J, Cucumber, TestNG, Junit, Postman
  • ML Methodologies: Logistic Regression, Random Forest, SVM, LightGBM, CNN

Tools

  • Development Tools: GitHub, Eclipse, PyCharm, Jupyter Notebook, Atlassian Jira, Microsoft Office, G-suite products, Jira
  • Data Analysis Tools: Microsoft Excel, Alteryx, Power BI, Tableau, IBM SPSS
  • Cloud & Data Engineering Tools: Airflow, AWS (S3, Redshift, RDS), ETL pipeline development
  • Project Methodologies: Agile, BDD (Behavior-Driven Development), Waterfall

Projects

AI-Powered Database Chatbot​

  • Developed an AI-powered chatbot using OpenAI GPT and LangChain to dynamically generate and execute SQL queries based on user inputs.
  • Implemented NLP solutions for accurate user intent parsing and automated SQL query formulation, enhancing usability and efficiency.
  • Integrated robust database management protocols with schema validation and error handling for high data integrity, query accuracy, and system reliability.

Design: Adventure in Learning: Building a Fun Educational Game​

  • Developed an educational game using Design Sprint methodology, focused on engaging children aged 6-8 in learning foundational concepts.
  • Conducted interviews and surveys with teachers and parents to align game design with educational goals and user needs.
  • Designed interactive elements and features to address low engagement, motivation, and different learning styles in traditional methods.

Analysis of Domestic Flights Delays in the United States​

  • Analyzed domestic flight delays in the U.S. by examining factors like flight duration, day of the week, and airline popularity.
  • Used IBM SPSS to quantify the impact of these variables on flight delays.
  • Created visualizations in Tableau to effectively present insights and patterns.

Contact Management-Python

  • Developed a contact management website using Python and HTML in VSCode, hosted on Git.
  • Implemented CRUD operations (create, read, update, delete) using Django to manage contacts efficiently.
  • Utilized Django's built-in SQLite database for data storage.

Call Centre Trends - Power BI

  • Analyzed call center metrics with interactive dashboards showcasing resolution rates, response times, and satisfaction scores.
  • Visualized agent performance metrics, including answered calls, resolutions, satisfaction rates, and speed of answers.
  • Enabled dynamic filtering by agent, topic, and date, with monthly call trends to improve operational insights.

Customer Retention - Analytics

  • Created an analytics dashboard focused on customer retention KPIs, utilizing advanced data visualization techniques.
  • Addressed telecom industry challenges by visualizing customer demographics and insights.
  • Provided actionable strategies for proactive customer retention through quantitative analysis and data-driven insights.

Type 2 Diabetes Prediction Using LightGBM

  • Developed a Type 2 Diabetes prediction model using LightGBM, achieving an accuracy of 0.9062 on the Pima Indians Dataset.
  • Compared LightGBM's performance with Support Vector Machine and Random Forest algorithms.
  • Published findings in the International Journal of Future Generation Communication and Networking in 2020.

Smart Traffic Surveillance System

  • Developed a Smart Traffic Surveillance System using Computer Vision to dynamically allocate signal waiting times based on vehicle count.
  • Implemented Digital Image Processing techniques such as grayscale conversion, thresholding, and contour detection using OpenCV.
  • The project enhanced traffic monitoring efficiency and sparked further interest in Computer Vision.

Road Lane Line Detection Using Computer Vision

  • Developed a Road Lane Line Detection system for autonomous vehicles using Computer Vision techniques like edge detection and image segmentation.
  • Utilized OpenCV for image processing tasks, including morphological operations like dilation, opening, and masking.
  • The project aimed to enhance road safety by providing a foundational mechanism for lane detection in self-driving cars.

Car Sales Analysis Dashboard

  • Designed an interactive Car Sales Dashboard in Tableau to visualize key sales KPIs and support data-driven decision-making.
  • Tracked YTD sales trends, YOY growth, average price analysis, and sales distribution across body styles, colors, and dealer regions.
  • Implemented line charts, pie charts, donut charts, bar charts, and tabular grids for a comprehensive sales overview.
  • Gained hands-on experience with Tableau data connections, date functions, YTD/YOY calculations, LOD expressions, custom charts, formatting, and interactive filters.

Hotel Bookings Analysis Dashboard

  • Developed an interactive Hotel Booking Analysis Dashboard in Tableau to analyze booking trends and cancellations.
  • Visualized hotel-wise bookings, distribution channels, cancellations, time trends, and guest demographics to understand booking patterns.
  • Implemented bar charts, stacked bar charts, donut charts, line charts and pie charts with interactive filters and tooltips.
  • Gained hands-on experience in EDA, revenue analysis, trend visualization, Tableau functions, and dashboard formatting for better decision-making.

Professional Experience

California State University Long Beach

Role - Instructional Student Assistant

  • Provide personalized guidance in Python, SQL, Java, and Statistics, assisting students in data analysis, dashboard development (Power BI, Tableau), and business intelligence through one-on-one and group sessions.
  • Demonstrate real-world applications of Python and SQL in business analytics, helping students bridge the gap between theory and industry trends.
  • Work closely with faculty to design tailored learning strategies, improving student engagement and comprehension in data querying, trend analysis, and predictive modeling.
  • Foster a data-driven problem-solving mindset, contributing to a 30% improvement in student performance by promoting interactive and practical learning methods.

California State University Long Beach

Role - Teaching Assistant (Business Data Analysis)

  • Facilitated course instruction by assisting professors in delivering lectures, preparing course materials, and addressing complex business data analysis concepts.
  • Guided students in mastering key technical skills such as data analysis and Statistics by offering personalized support during office hours and tutoring sessions.

Capgemini Pvt Ltd

Role - Senior Software Engineer

Client - Royal Bank of Scotland, Responsibility - Test Analyst

  • Key Contributions:
    - Designed and executed Manual and Automated Testing strategies using Selenium, Silk4J, and Hammer Call Master, achieving a 30% reduction in testing cycle time.
    - Developed and maintained BDD frameworks with Cucumber, automating testing workflows and increasing efficiency in Unit, Functional, Regression, Sanity, and UAT testing.
    - Validated the Voice ID IVR project, replacing PIN authentication with voice recognition, resulting in positive customer feedback and adoption by thousands of users. - Debugged and optimized Test Automation Frameworks for UI testing, database verification, and real-time issue resolution, ensuring data accuracy and system integrity.
  • Impact:
    - Improved regression test coverage by 25%, achieving a 20% boost in testing efficiency.
    - Enabled seamless onboarding by training and mentoring new joiners on the VIVR project through comprehensive knowledge transfer sessions.
    - Reduced operational costs and enhanced quality through proactive automation testing strategies.
  • Recognition:
    - Spotlight Award (2021): For exceptional teamwork and delivering on-time solutions.
    - Rising Star Award (2022): For outstanding contributions and quality-driven performance.

Indexial Solutions Pvt. Ltd.

Role - Data Science Intern

  • Acquired a solid understanding of the fundamentals in Machine Learning and Data Science.
  • Successfully translated theoretical knowledge into practical application through a comprehensive project focused on hospital disease management.
  • Demonstrated proficiency by implementing key concepts and techniques in the project.
  • Gained hands-on experience, actively contributing to the real-world application of machine learning in healthcare.

Publication

Type 2 Diabetes Prediction Using LightGBM

Paper: Abha Parihar, Suraj Bhoste, Shubham Patil, Shreya Kapgate & Sanjeev Wagh (2020). Type 2 Diabetes Prediction Using LightGBM. International Journal of Future Generation Communication and Networking at the International Conference on Machine intelligence and smart computing, Vol. 13, No. 3, (2020), pp. 1365–1373.

Link - http://sersc.org/journals/index.php/IJFGCN/article/view/27008

  • Compared result of machine learning algorithms like LightGBM, Support Vector Machine, and Random Forest.
  • Achieved the accuracy of 90.62 with LightGBM, involving coding and analysis. Improved accuracy through breakthroughs and critical thinking.
  • Presented research paper at International Conference on Machine Intelligence and Smart Computing, showcasing confidence in my knowledge.

Volunteering

Associated Business Students Organizations Council (ABSOC)

Role - Alumni Relations Chair

ABSOC Team 2023-24

The Associated Business Students Organization Council (ABSOC) was established to guide and shape the students of CSULB into strong future business leaders through the empowerment of students to desire self-improvement, scholastic, and professional excellence, and the cultivation of civic responsibility.

I was Alumni Relations chair at ABSOC for the year 2023-24. I have organized first ABSOC Alumni Mixer in Spring 2024. This is an event designed to reconnect and strengthen the bond among our esteemed ABSOC alumni and current students. This was a great experience for me since I managed the team and the event was a huge success.

Association for Information Systems (AIS) - Member

AIS offers professional development such as giving knowledge on different Information Systems career pathways, ways to develop your resume, conducts technical workshops to strengthen the credentials of its student members and connect with industry professionals and alumni.

Alteryx HQ
Alumni Engagement event
Speaker Engagement event
Alumni Engagement event
Speaker Engagement event
Events in AIS

Extracurricular Activities

Vollyball Team, Government College of Engineering Karad

  • Represented College in the intercollege competation

Courses from LinkedIn, Coursera, NPTEL

  • Machine learning Course​, Database Management Systems, Python for Data Science, Google Data Analytics, Agile Software Development, Career Essentials in Generative AI by Microsoft and LinkedIn

Educational Background

California State University Long Beach, Masters in Information Systems

Expected - May 2025

4.0 GPA

  • Course Work - Business Data Analytics, Management of Information Systems, Database Management Systems, Statistics for Business, Machine Learning for Business Analytics, System Analysis and Design, Deep Learning for Business Analytics, Responsible AI

Government College of Engineering Karad, Bachelor of Technology in Information Technology

Completed - Oct 2020

3.52 GPA

  • Course Work - Mathematics (Statistics, Probability, Calculus, Algebra, Matrices), programming Languages (C, C++, Java, Python), Data Mining, Design Thinking, Cloud Computing, Data Structures, Computer Algorithm, Internet Of Things, Artificial Intelligence.

About me

Currently, I am pursing a Master's degree in Information Systems at California State University Long Beach. I pursued my Bachelor's degree in Information Technology from the Government College of Engineering, Karad. Following graduation, I ventured into the professional realm as a Senior Software Engineer at Capgemini.

What I love to do

I am an avid explorer and adventurer, finding joy in traveling to new places and undertaking thrilling experiences. In my leisure time, I am dedicated to continuous skill development and nurturing them. As an enthusiast of technology, I have a deep-seated love for coding and logical thinking. Helping others through volunteer work brings me immense pleasure, reflecting my commitment to making a positive impact. Engaging in sports like volleyball cultivates teamwork and discipline, while my creative pursuits involve painting and crafting heartfelt greetings for loved ones.

I have organized first ABSOC Alumni Mixer event, showcasing my leadership skills and . My commitment extends to ongoing learning, particularly in acquiring new analytical skills to enrich my master's degree pursuit. Nature beckons me, and I cherish connecting with it through exploration, whether it be in the form of hikes, beach outings, or ventures into snow-covered mountains.