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Profile
  • Strong foundation in data analysis, statistics, and machine learning with hands-on experience in Python, R, SQL and Advanced Excel.
  • Expertise in data visualization tools such as Power BI, Tableau, Qlik Sense to present complex data with an attention to detail.
  • Proficient in applying predictive models, machine learning techniques, including supervised and unsupervised learning to develop models that drive business decisions.
Education

Master of Science in Data Analytics, Applied Machine Intelligence

Northeastern University
Jul 2024 | Boston, MA, United States

Master of Science in Computer Science

St Francis College for Women
Apr 2022 | Hyderabad, India

Bachelor of Science in Computer Science, Mathematics

St Francis College for Women
Sep 2020 | Hyderabad, India
Skills
Languages::  R, Python, SQLite, JavaScript, HTML, CSS, PHP.
BI Tools and Analytics:: Tableau, Qlik Sense, Quick Sight, Snowflake, Predictive Analytics, Data Warehousing and Mining, Data Architecture, Big Data Analytics, Exploratory Data Analysis, Root Cause Analysis, Natural Language Processing.
Professional Experience

Humanitarian AI

Data Scientist
Jan 2025 – Present | Remote
  • Deployed a causal inference agent leveraging llama Large Language Model and advanced statistical analysis achieving 95% accuracy.
  • Executed extensible system architecture using synthetic data to support scalable agent which can be utilized across diverse domains such as healthcare, marketing, and social sciences reducing system downtime by 10%.
  • Built a user-friendly console-based interface using Rich enabling transparency and increasing interpretability by 20%.
  • Validated the agent on real-world medical datasets, demonstrating a 10% rise in precision when predicting treatment impacts.
  • World Salon

    Marketing Analyst Intern
    Sep 2024 – Present | New York, NY
  • Integrated SEO strategies based on startups market research and business analysis, resulting in a 10% increase in online traffic.
  • Conducted trend analysis using Looker and Google Analytics on audience insights that led monthly business process improvement.
  • Leveraged Advanced Excel tools like Pivot Tables and LOOKUP, INDEX MATCH, IF functions for data validation techniques to identify key KPIs and which led to a 15% increase in project efficiency.
  • Straumann USA LLC

    Data Analyst
    Apr 2024 – Jun 2024 | Boston, MA
  • Utilized Pandas, SciPy, scikit-learn, Matplotlib, Seaborn Python libraries to implement Apriori and FP-Growth algorithms for customer segmentation in dental products, creating product bundles that boosted cross-selling opportunities by 10%.
  • Designed and developed dynamic Power BI dashboards to analyze over 3 million sales records, streamlined ETL and data modeling process, enabled strategies for identifying top-performing and underperforming products.
  • Google

    Strategist / Analyst
    May 2022 – Apr 2023 | Hyderabad, India
  • Spearheaded the execution of data-driven Google Ads strategies driving a 40% increase in sales and 30% growth in leads as a client.
  • Deployed advanced tracking mechanisms via Google Tag Manager within Google Analytics enhancing customer engagement monitoring accuracy by 25%.
  • Engineered and customized reports, data visualizations which delivered actionable insights on keywords planning and management that led to a 15% boost in business performance as per marketing objective.
  • Strong verbal and written communication skills with detailed documentation were presented, translating complex data insights to non-technical stakeholders, which facilitated informed decision-making across 3 cross-functional teams.
  • Projects

    Product Analytics | Microsoft Power BI, Power Query Editor, M Language, Microsoft SQL Server

    • Discovered data stories and insights from sales and product analytics for the Super Store dataset using complex DAX measures and developed dynamic dashboards, identifying a 15% increase in high-margin product categories.

    • Designed robust multidimensional data models in SSMS, incorporating relationships and hierarchies, reducing data preparation time. by 30%, created custom columns and advanced KPIs, enabling accurate insights that improved quarterly sales forecasts by 20%.

    HIV Incident Rates | MySQL, Subqueries, Stored Procedures, Aggregate Functions

    • Analyzed HIV incident rates in the Asian region, to identify high-risk regions, correlations between income levels and infection rates, and the impact of healthcare access, delivering actionable insights that reduced incident rates by 10%.

    • Implemented Common Table Expressions and subqueries to streamline complex queries, reducing execution time by 30%.

    COVID-19 Prediction and Forecasting | R, Linear Regression, ANOVA model, Random Forest Regressor, ARIMA model

    • Achieved 85% accuracy predicting COVID-19 mortality and spread in Massachusetts using Random Forest Regressor; improved case trend prediction accuracy by 10% through SARIMAX modeling and RMSE optimization.

    Certificates
    Microsoft PL 300: Microsoft Certified Power BI Data Analyst