Data Analyst Software Development

GREESHMA SRI BIJJAM New Haven, CT, USA

Data Analyst +1-203-***-****

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PROFESSIONAL SUMMARY

Results-driven Data Analyst with 1+ year of experience and internship–level software development exposure. Proven record of translating stakeholder requirements into ETL pipelines, predictive models, and self-service dashboards that inform product and risk decisions. Proficient in SQL, Snowflake, Python, Power BI, Tableau, Power Query and DAX, comfortable running A/B tests, variance analysis, and cohort studies. Adapt at Agile/Scrum methodologies, requirements workshops, and data-governance controls, delivering insights that cut query SLAs 30 % and lifted dashboard adoption 40 %.

TECHNICAL SKILLS

Methodologies

Software Development Life Cycle (SDLC), Agile/ Scrum, Waterfall

Language & Database

Python, SQL, NoSQL, R, MongoDB, Postgres, MySQL, Azure SQL Database

Python Packages

Pandas, NumPy, Matplotlib, SciPy, PyTorch, TensorFlow, ggplot2

Cloud & IDES

AWS, GCP, RStudio, PyCharm, Snowflake, Jupyter Notebook

Data Analytics Skills

Data Manipulation, Predictive Analysis, Data Cleaning, Data Mining, Data Visualization, Statistical Modeling, EDA, Data Modelling, Data Governance, A/B Testing, Cohort Analysis

Tools

Tableau, Power BI, ETL, SQLite, Cron Tasks, SharePoint, Microsoft Excel, Visual Studio Data Tools, Talend, Microsoft office Suite, Jira, Git, GitHub

PROFESSIONAL EXPERIENCE

Junior Business Analyst Bajaj Auto Finance LTD, Bangalore, India August 2022 – July 2023

●Led requirements gathering, user-story writing, backlog refinement and Agile sprint planning for a green-field analytics module in Bajaj FinTech’s mobile wallet, coordinating stakeholder workshops with Product, Risk and Compliance.

●Extracted, transformed, and loaded multi-source transactions with SQL (Snowflake / Redshift / Big Query), Python and Excel Power Query, building a repeatable ETL pipeline that drove daily Tableau & Power BI refreshes.

●Modelled and visualized financial KPIs (variance analysis, monthly burn rate, savings ratio) using DAX, Power BI, Tableau, in full alignment with Finance & Risk data-governance.

●Built an interactive self-service dashboard with drilldowns by category, merchant and geography plus predictive-analytics and scenario-analysis widgets, boosting adoption by 40 % and accelerating decision cycles.

●Engineered an automated ETL pipeline that ingests data into Google Sheets via Apps Script, tokenizes card numbers, masks PII, and enforces data-governance rules, ensuring secure, compliant inputs for downstream Power BI/Tableau reporting.

●Optimized database schemas, query performance and data-catalog documentation in Confluence / Jira, cutting ad-hoc query turnaround time by 30 % while upholding cross-functional reporting SLAs.

●Delivered quarterly ROI and NPV analyses showing the module drove incremental card spend and achieved positive payback in < 10 months, informing product-investment decisions.

Software Development Support Intern Meesho Pvt Limited, Hyderabad, India April 2022 – July 2022

●Wrote a Python script that lets testers add items, view their cart, and “check out” from the command line.

●Store cart data in a CSV file with the built-in csv module so the cart re-opens exactly where the user left off.

●Added a small “fake pay” function that prints a receipt when a Stripe test token is entered, helping QA walk through the full shopping flow.

●Implemented basic input validation and error handling, preventing crashes on invalid product IDs or negative quantities.

●Created 8-unit tests with Python’s unit test, catching edge-case bugs before code review.

●Wrote a concise README and setup guide, enabling new interns to clone, run, and test the tool in under five minutes.

●Used Git for version control and practiced pull-request etiquette and a clear branching strategy in Git—each change was peer-reviewed and merged to the main branch.

EDUCATION

Master of Science Information Science August 2023 – May 2025

University of New Haven West Haven, CT, USA

Bachelor of Education in Computer Science August 2019 – May 2023

Lovely Professional University Phagwara, Punjab, India

PROJECTS

STUDY BUDDY – Peer Collaboration Platform January 2025 – May 2025

●Drove mixed-methods UX research (102-response survey + 1,000-student behavioral simulation) to surface top pain-points—social isolation, scheduling friction, and accountability gaps—in online/hybrid courses.

●Translated insights into personas, journey maps, and low-fi wireframes in Figma; core features included smart matchmaking, drop-in study rooms, and motivational badge loops.

●Instrumented click-stream events and queried raw logs with SQL/Python to build a North-Star metric—Weekly Active Study Sessions (WASS)—and supporting KPIs (DAU/WAU ratio, session length, badge-conversion rate).

●Ran two A/B tests on onboarding copy and badge-redemption timing: lifted Day-7 retention and reduced onboarding drop-off 18 %.

●Built a self-service Tableau dashboard showing real-time funnel, cohort, and churn curves; enabled product team to prioritize backlog items that promised 10 % retention upside.

●Applied Nielsen’s 10 heuristics to hi-fi prototypes and iterated until SUS score reached 86 /100 in hallway-testing, surpassing “excellent” usability threshold.

●Partnered with data-science classmates to cluster users into solo learners, accountability seekers, and social learners with k-means (silhouette = 0.71); segmentation informed personalized badge rules and push-notification cadences.

●Presented insights to faculty and external mentors in a 15-min demo, linking UX changes to business outcomes (LTV proxy via projected retention), and secured approval to pilot the platform in the Fall 2025 freshman seminar.

CAREER TRACK PROGRESS DASHBOARD August 2024 – December 2024

●Optimized SQL queries on 128 k enrollment rows and 940 k exam-score rows with CTEs, window functions, and indexing, cutting runtime by 45 % and stabilizing daily refreshes.

●Performed cohort-retention analysis and built a logistic-regression model (AUC 0.82) to predict certificate completion; exported probability scores to Tableau for targeted student interventions.

●Developed an interactive Tableau dashboard—combo, bar, and parameter-driven what-if charts—that surfaced a 22 % dropout spike between Courses 5–6 and an 11-pp elective pass-rate gap; insights lifted overall success 9 pp in the following cohort.

●Ensured < 2 s dashboard load times via Tableau Performance Recorder, extract optimization, and workbook pruning; added dynamic KPI cards and drill-through actions for instructor self-service.

●Collaborated with curriculum leadership and three TAs; authored a six-page data dictionary, maintained version control in Git, and presented bi-weekly sprint demos.

●Implemented automated data-quality validation scripts and Tableau Data Quality Warnings, raising dataset accuracy to 99 % and aligning with institutional data-governance standards.

●Led two training workshops for five instructors, boosting dashboard adoption from 0 % to 100 % and reducing ad-hoc reporting requests by 80 %.

COVID-19 Testing & Positivity Analysis — Global Dataset January 2024 – May 2024

●Imported and explored 500 k+ rows of World Health Organization COVID-19 data with readr and tibble; validated column types and handled missing values to ensure 100 % data integrity.

●Leveraged dplyr (filter, group_by, summarise, mutate) to derive per-country KPIs—total tests, confirmed cases, and positivity rate—across 180 nations for Jan 2020 – Dec 2021.

●Ranked countries by testing volume and positivity; uncovered a > 25 % positive-test rate cluster in five high-testing nations, signaling potential under-reporting of community spread.

●Stored key metrics in vectors, matrices, and list objects, demonstrating mastery of core R data structures and functional programming for repeatable analysis.

●Produced concise bar and scatter plots (base-R & ggplot2) to visualize testing intensity versus positivity; findings shared in a 10-minute class presentation and cited in a faculty blog post on pandemic analytics.

●Documented a reproducible R script with inline comments and README.md for peers, showcasing best practices in code clarity, data governance, and results communication.

CERTIFICATIONS

●Microsoft Certified: Power BI Data Analyst Associate (PL-300) - 2024

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