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Sunny Kadam

Sunny Kadam

Data Science & Engineering fresher with hands on experience building end-to-end ETL/ELT pipelines, predictive ML models, and BI dashboards

Talent
NagpurMember since April 8, 2026
PythonSQLDAXApache KafkadbtSnowflakeAWS S3PostgreSQLPower BIDockerPandasMatplotlibScikit-learn
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About

Data Science & Engineering fresher with hands on experience building end-to-end ETL/ELT pipelines, predictive ML models, and BI dashboards. Proficient in Python, SQL, Apache Kafka, Airflow, Snowflake, DBT, and Power BI. Experienced in processing large-scale datasets and delivering actionable business insights that drive data-driven decision-making.

Experience

Data Analyst Intern at Confidence Petroleum India Limited (2026-01 – Present)

  • Analyzed 100K+ sales and operational records using Python and SQL to uncover KPI trends and business insights, built and maintained interactive Power BI dashboards and MIS reports tracking 10+ KPIs, enabling data-driven, decision-making for senior stakeholders.
  • Performed end to end data cleaning, preprocessing, and feature engineering to ensure high-quality datasets, standardizing validation workflows to reduce reporting errors and improve analytical output reliability.
  • Collaborated with cross functional teams to translate raw operational data into analytical reports and strategic insights, supporting management planning and improving process efficiency through data driven recommendations.

Data Scientist Intern at Codons Technology Pvt. Ltd. (2025-03 – 2025-09)

  • Performed large scale EDA, data extraction, and feature engineering on 800K+ records using Python (Pandas, Matplotlib, Scikit-learn), delivering clean, analytics-ready datasets and uncovering actionable data patterns adopted by product and operations teams.
  • Developed and deployed predictive ML models, Decision Tree, Random Forest, and Polynomial Regression applying statistical analysis to achieve 96% forecast accuracy on business trend prediction tasks.
  • Engineered Power BI dashboards with DAX measures and drill-through reports to surface key business insights, replacing manual reporting workflows and saving approximately 5 hours of reporting effort per week.

Education

B.Tech in Computer Science and Engineering – G. H. Raisoni College of Engineering (2022-03 – 2026-07)

HSC in XI, XII – Nirala Junior College (2020-09 – 2022-07)

CBSE in X – Sanskar Vidya Sagar (2019-09 – 2020-07)

Skills

predictive ML modelsand BI dashboards

Reviews

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