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Nishikant Mundokar
Profile

Results-driven Data Analyst with expertise in Data Science, Machine Learning, ETL, and process automation. Proficient in Python, SQL, PySpark, and Databricks for large-scale data processing. Skilled in web scraping, NLP, and statistical analysis to derive actionable insights. Experienced in building ETL pipelines, deploying ML models, and creating Power BI dashboards for data visualization and reporting. Optimizing data-driven decision-making.

Skills
Technical Skills
  • •Programming & Data Manipulation: Python, SQL, PySpark, ETL.
  • •Machine Learning & AI: Model development, statistical analysis, LLMs (GPT).
  • •Data Visualization & Reporting: Power BI, Matplotlib, Seaborn.
  • •Web Scraping & Automation: Web scraping frameworks (Scrapy), workflow automation (Apache Airflow).
Tools & Software:
  • •Microsoft Power BI
  • •Microsoft Excel (Advanced)
  • •Microsoft PowerPoint
  • •Databricks
Soft Skills
  • •Analytical thinking, problem-solving, collaboration, adaptability.
Certificates
Create Machine Learning Models in Microsoft Azure
Microsoft Power BI for Data Science
Google Analytics
Generative AI for Everyone Deeplearning.AI
Professional Experience

Reliance Industries Limited

Data Analyst
09/2024 – Present | Navi Mumbai
  • •Develop machine learning models on cloud platforms such as Azure Databricks.
  • •Developed ETL pipelines using SQL and Apache Spark for large-scale data processing.
  • •Used PySpark for data cleansing, aggregation, and transformation.
  • •Support reporting processes by making interactive live dashboards with PowerBI.

    • CapGrow Capital Advisors

    Data Analyst
    04/2023 – 09/2023 | Mumbai, India
  • •Automated Reporting, Trendline Analysis
  • •Enhancing Trading Strategy using predictive modelling ML techniques
  • •Risk Assessment
  • •Creating interactive Dashboards using Power BI
    • Education

    MSc. Data Science and Spatial Analytics

    Symbiosis International University
    06/2023 | Pune, India

    7.24 CGPA

    BE. Electronics and Telecommunication

    Mauli College of Engineering
    06/2021 | Shegaon, India

    9.72 CGPA

    Industry oriented Projects

    ECCE Program Data Analysis and Reporting

  • •Data Monitoring: Designed MIS using SQL and Azure for real-time tracking and program transparency.
  • •Automation: Streamlined workflows with Python, ETL and SQL, improving efficiency.
  • •Reporting: Created Power BI dashboards with Python integration for actionable insights.

    • Data Analytics for Financial Product Optimization

  • •Conducted customer segmentation using Python, SQL, and statistical techniques for financial products. (Tools: Python, SQL, PySpark, scikit-learn)
  • •Developed automated reporting and trend analysis pipelines for performance monitoring. (Tools: Python, SQL, Power BI)
  • •Built interactive Power BI dashboards integrating data from SQL databases and Python-based ETL pipelines. (Tools: Power BI, SQL, Python)