Dimple Barapatre

Results-driven Machine Learning Engineer and Data Scientist with 1 year of hands-on experience building and deploying machine learning models, NLP pipelines, and data-driven solutions. Proficient in Python (Pandas, NumPy, Scikit-learn, XGBoost, Random Forest), SQL, Power BI, and Streamlit. Experienced in the full ML lifecycle — from data wrangling and EDA to feature engineering, model evaluation, and production deployment.

Proven ability to translate complex data into actionable business insights that drive measurable impact.

Data Analyst Intern at Accenture (2024-07 – 2025-01)

Data Analyst Intern at Accenture working on data processing, machine learning model development, and business intelligence dashboards.

• Processed and cleaned 5M+ social media records using Python (Pandas) and SQL to identify high-performing content categories and operational bottlenecks.
• Built machine learning models (Random Forest, XGBoost) to forecast engagement trends, improving reporting accuracy by 30%.
• Applied feature engineering and model evaluation techniques to optimize ML pipeline performance.
• Developed interactive Power BI dashboards tracking KPIs to support leadership-level decision making.

Data Analyst at Yess Infotech (2025-07 – 2026-01)

Data Analyst at Yess Infotech developing dashboards, performing data analysis, and creating business intelligence solutions.

• Built an interactive Covid-19 Dashboard in Power BI and Tableau, analyzing 200K+ data points across 15+ regions to visualize spread trends, recovery rates, and fatality KPIs.
• Developed a Mobile Sales Dashboard (Motorola) tracking 500+ product SKUs, regional revenue, and monthly sales KPIs — reduced insight turnaround by 30%.
• Performed data cleaning, transformation, and EDA on 100K+ row datasets using Python (Pandas, NumPy) and MySQL, improving data quality and analysis accuracy.
• Wrote optimized SQL queries in MySQL for data extraction, filtering, aggregation, and multi-table joins to support reporting and business analysis.
• Designed structured Excel dashboards with pivot tables, dynamic charts, and slicers — enabling self-serve reporting for non-technical stakeholders.

Master of Science in Electronics – RTMNU Campus (2021 – 2023)

Bachelor of Science in Physics, Mathematics, Electronics – LAD College (2018 – 2021)