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Nikunj Upadhyay

Nikunj Upadhyay

Teaching Faculty

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location of Nikunj UpadhyayRaurkela, Odisha, India

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  • Timeline

  • About me

    NITR'24 || Analytics | ML/DS/DE || DE @CIAI || Tr. Decision Scientist @Mu Sigma || PM Intern @ElectricPe

  • Education

    • Dr. AN Khosla DAV Public School, Rourkela

      2017 - 2019
      Intermediate Science 88.6

    • St. Gregorios High School

      2007 - 2017
      Matriculate Science 94.5

      Activities and Societies: Served in key roles of Head Boy and House Captain || Extra-curricular activities in sports and academics Passed ICSE Boards with distinction, ranked 2nd in School and 18th in district. Made to few state/district levels in Olympiads and TSE.

    • National Institute of Technology Rourkela

      2020 - 2024
      Bachelor of Technology - BTech Food Technology and Processing 8.09

      Activities and Societies: Active member of various technical and cultural clubs at NITR. B.Tech (Hons.) in Food Process Engineering, gained relevant skills in Descriptive Statistics, Programming, interpersonal communication, critical thinking and analytical skills. Became an Engineer at heart!

  • Experience

    • Superprof

      Apr 2019 - May 2023
      Teaching Faculty

    • Koel Fresh Pvt. Ltd.

      May 2023 - Jun 2023
      Research Associate Intern

    • Teceads Solutions Pvt. Ltd.

      Jun 2023 - Jul 2023
      Data Science Intern

    • ElectricPe

      Jan 2024 - Jun 2024
      Program Manager Intern

      • Market Expansion Analysis: Conducted feasibility assessments for EV store expansion into 10 cities using SQL for data extraction and PowerBI for policy and market data visualization.• Cost-Effective EV Service Infrastructure: Developed a scalable SOP and low-cost consumer program, using Excel for financial modeling and documentation.• Analyzed high-demand locations for charging stations in Bangalore, using MySQL and Excel for data analysis to implement targeted schemes.• P&L and Financial Reconciliation: Managed month-on-month P&L reporting and reconciliations for six stores with Excel and Power BI, optimizing financial accuracy and profitability tracking. Show less

    • Mu Sigma Inc.

      Jul 2024 - Nov 2024
      Trainee Decision Scientist

      • ETL Pipeline Development: Built and optimized ETL pipelines using Python (PyCharm) and MS SQL Server for efficient data extraction, transformation, and loading, reducing processing time by 20%.• Predictive Modeling: Developed classification models using logistic regression and random forest in Python, achieving 87% accuracy in identifying professional customers likely to join a membership program.• Data Integration and Feature Engineering: Leveraged MS SQL Server and Python (Pandas, Scikit-Learn, etc.) for data integration and feature engineering, increasing model precision by 18% with customer demographics, purchasing history, and activity data. Applied hypothesis testing with SciPy to validate significant features for marketing.• Dashboard and Reporting: Created visual reports in Excel and Python (Seaborn, Matplotlib/Plotly), delivering insights to support data-driven marketing and operational decisions. Show less

    • CustomerInsights.AI

      Dec 2024 - Feb 2025
      Data Engineer

      • Transforming Life Sciences CommercialOperations through Innovation and Al.• CiPARTHENON - Automated DataIngestion, Integration, Management and Analytics Platform• Building ETL data pipelines• Automation Dashboards for reports on Competitor Landscape.

  • Licenses & Certifications