Summary
Overview
Work History
Education
Skills
Languages
Projects
Timeline
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Kuldeep Chinwan

New Delhi

Summary

Experienced data professional skilled in SQL, Python, and advanced machine learning. Proficient in ETL processes, databases, and data warehousing. Adept at data visualization and cloud platforms. Passionate about driving innovation and extracting actionable insights from complex datasets.

Overview

4
4
years of professional experience

Work History

Business Analyst ( Data Scientist)

GENPACT - Noida
04.2023 - Current
  • Implemented automated data processing scripts in Python, reducing manual data entry time by 30% and enabling advanced data analysis
  • Leveraging Python’s libraries for data manipulation and machine learning, collaborate with cross-functional teams to develop predictive models and drive actionable insights from complex datasets.
  • Proficiently utilized Snowflake data warehouse for streamlined dataset processing and insightful analyses.
  • Leveraged py-spark for high-speed processing and advanced analytics on large-scale datasets
  • Utilized analytical thinking to identify patterns and trends in large datasets, leading to actionable insights that informed strategic decision-making.
  • Collaborated with cross-functional teams to troubleshoot technical issues and implement innovative solutions, showcasing strong problem-solving abilities.
  • Designed and executed Python scripts for feature engineering, enhancing predictive power of machine learning models.
  • Developed complex SQL queries to extract and manipulate data from relational databases, supporting data analysis and reporting needs.
  • Managed data storage, versioning, and governance using Delta Lake, enhancing data reliability and accessibility.

Analyst

Aspen Technology
12.2020 - 03.2023
  • Developed automated ETL scripts to ingest data from diverse sources, including databases, APIs, and log files, ensuring data integrity and reliability
  • Utilized Python and Apache Spark to process and model datasets of varying sizes, optimizing data retrieval and cleansing for efficient analytics
  • Developed Python scripts automating data extraction from diverse sources, including databases and APIs, streamlining collection processes and yielding 30% increase in efficiency.
  • Evaluated and implemented data visualization techniques to communicate complex findings and insights to stakeholders effectively, using tools such as Matplotlib, Seaborn, and PowerBI.
  • Constructed Python scripts to handle large-scale data processing using frameworks such as Pandas and NumPy, ensuring efficient data manipulation and analysis.

Education

Bachelor Of Technology - Electrical & Electronics

Bharati Vidyapeeth College of Engineering
New, Delhi
2020

12th PCM - Computer Science

Kendriya Vidyalya
Delhi Cantt
2016

Skills

  • Programming Languages & Libraries: Python (NumPy, Pandas, Scikit-Learn), SQL, PySpark, Kafka
  • Machine Learning: Linear Regression, Logistic Regression, Random Forest, SVM
  • Databases: MongoDB, Cassandra, MySQL, Redshift
  • Data Warehousing: Snowflake
  • Data Visualization: Matplotlib, Seaborn, Power BI, Amazon QuickSight
  • Operating Systems & Scripting: Linux, Shell Scripting
  • Version Control: Git, GitHub
  • Cloud Platforms: AWS

Languages

  • English, Hindi

    • Projects

    • HR Analytics: Employee Attrition (click here)
    • Credit Card Fraud Detection (click here)
    • Book Recommendation System (click here)
    • SMS-Spam Classifier (click here)

    Timeline

    Business Analyst ( Data Scientist)

    GENPACT - Noida
    04.2023 - Current

    Analyst

    Aspen Technology
    12.2020 - 03.2023

    Bachelor Of Technology - Electrical & Electronics

    Bharati Vidyapeeth College of Engineering

    12th PCM - Computer Science

    Kendriya Vidyalya

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