Hello, there!
Welcome to my portfolio:
I am a recent graduate from the Data Analytics and Computational Social Science program at the University of Massachusetts Amherst. I have a strong background in data science, machine learning, and quantitative analysis.
I am passionate about using data to create actionable insights and drive meaningful change.
I’m eager to apply my skills in real-world projects that contribute to data-driven decision-making and social good.
Here's some more information about me:
Education
2023-2024
Master of Science in Data Analytics and Computational Social Science
University of Massachusetts, Amherst
GPA: 3.89
Fall 2023: Data Science Fundamentals, Research Design, Survey Research Methods, Method Applied Statistics
Spring 2024: Quantitative Analysis, Python for ArcGIS, and Data Visualization
Fall 2024: Machine learning for Social Science, Adv. Data-Driven Storytelling
2017-2021
Bachelor of Technology in Computer Science and Engineering
Lovely Professional University, India
GPA: 3.78
Predictive Analytics, Artificial Intelligence, Probability & Statistics and Data Visualization
Technical Skills

Python

SQL

R

Excel
Power BI
Tableau

AI / ML
Experience
Data Science Intern
June 2024 - December 2024
Vesta Equity, New York
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Designed an AI-powered FAQ Assistant using OpenAI LLMs, HuggingFace Embeddings, and FAISS, deployed via Streamlit, which reduced query resolution time by 70% and enhanced client support efficiency.
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Built advanced machine learning models (Random Forest Regressor) with 95% accuracy by incorporating socio-economic factors, improving ROI prediction accuracy by 27% and enabling data-driven investment strategies.
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Created a Streamlit app integrated with APIs and Snowflake to automate underwriting workflows, reducing customer onboarding efforts by 80% and improving operational efficiency.
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Developed a real-time ROI portfolio tool in Python and designed actionable Streamlit app, boosting investor engagement by 40% and improving decision-making.
Tutor/ Lab Assistant
August 2024 - December 2024
Data Analytics and Computational Social Science
University of Massachusetts, Amherst
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Tutored graduate students in the DACSS program, providing expertise in Data Science fundamentals, Python, R, and Statistics, ensuring mastery of key concepts and coding skills.
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Supported undergraduate students in the Statistical Models for Public Policy (SPP 204) course under Dr. Kelsey Shoub, assisting with R programming and the application of statistical models in public policy.
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Facilitated lab sessions, guiding students through coding exercises, data analysis, and statistical modeling projects to reinforce practical understanding.
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Conducted office hours, offering personalized assistance to resolve coding challenges, clarify concepts, and improve students' analytical and technical proficiency.
Teaching Assistant
August 2023 - August 2024
Data Analytics and Computational Social Science
University of Massachusetts, Amherst
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Assisted the Data Science Fundamentals (DACSS 601) graduate course, which focused on data analysis using the R programming language, under the instruction of Larissa Miller, PhD.
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Graded weekly challenges in R, providing constructive feedback to enhance students’ understanding of data science methodologies and R-based coding.
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Conducted office hours, offering personalized assistance in R programming, helping students troubleshoot code and grasp complex data science concepts.
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Collaborated closely with the instructor to ensure students successfully mastered data analysis techniques using R.
Programming Analyst
April 2021 - June 2023
Cognizant Technology Solutions, India
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Developed and optimized ETL pipelines and implemented advanced SQL techniques, including stored procedures, window functions, and views, to process 500,000+ records, ensuring data integrity and supporting a U.S.-based logistics client
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Performed statistical analysis on 100+ business metrics and created Tableau dashboards, improving supply chain efficiency by 15% and delivering actionable insights to cross-functional teams.
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Automated manual workflows using Python and SQL, building real-time reporting systems that reduced reporting efforts by 50% and provided critical insights across 10+ departments.
Research Assistant
August 2020 - Feb 2021
Lovely Professional University, India
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Worked on the "Impact of Socioeconomic Factors on Student Academic Performance" project, using Python and R for data cleaning, analysis, and visualization to identify trends and relationships.
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Collaborated with faculty to present key findings through reports and presentations, supporting data-driven insights into the effects of socioeconomic factors on student outcomes.
Certifications
Microsoft Certified : Data Analyst Associate
Tableau Desktop Specialist
Microsoft Certified: Azure Fundamentals
PCEP - Certified Entry-Level Python Programmer
