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Bhavani Priya

Data Scientist

  • LinkedIn
  • GitHub

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
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R
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Excel
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Power BI
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Tableau
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AI / ML

Experience

Data Science Intern

June 2024 - December 2024

Vesta Equity, New York

  • 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.

  • 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.

  • Created a Streamlit app integrated with APIs and Snowflake to automate underwriting workflows, reducing customer onboarding efforts by 80% and improving operational efficiency.

  • 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

  • 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.

  • 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.

  • Facilitated lab sessions, guiding students through coding exercises, data analysis, and statistical modeling projects to reinforce practical understanding.

  • 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

  • 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.

  • Graded weekly challenges in R, providing constructive feedback to enhance students’ understanding of data science methodologies and R-based coding.

  • Conducted office hours, offering personalized assistance in R programming, helping students troubleshoot code and grasp complex data science concepts.

  • 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

  • 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

  • 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.

  • 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

  • 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.

  • 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

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