Dikshant Chamorshikar

Final-year B.Tech CSE (Data Science) student

Pune, Maharashtra, India 0+ yrs exp 81 · Excellent

About

Final-year B.Tech CSE (Data Science) student at D Y Patil International University, Pune, graduating May 2026. Excellence Scholarship recipient with hands-on experience building end-to-end data pipelines (Kafka, Airflow, AWS), training ML models, and developing GenAI applications using LangChain and Google Gemini. Proven ability to work with large-scale datasets (7M+ records), deploy cloud-based solutions, and deliver insights through interactive dashboards. Actively seeking fresher-level roles in Data Science, Analytics, Engineering, or AI/ML.

Skills & Expertise (49)

Python Advanced

8.4/10

Years Exp

Machine Learning Advanced

8.0/10

Years Exp

Data Science Advanced

8.0/10

Years Exp

Communication Intermediate

7.5/10

Years Exp

Teamwork Intermediate

7.0/10

Years Exp

Google Cloud Intermediate

6.5/10

Git Intermediate

6.5/10

Years Exp

Apache Spark Intermediate

6.0/10

Java Intermediate

5.5/10

Docker Intermediate

5.0/10

emotional intelligence TensorFlow LangChain Google Gemini API ChromaDB RAG Streamlit Seaborn GitHub Jupyter Notebook VS Code Google Colab LINUX Time management Adaptability Problem-solving Critical thinking Data Visualization Generative AI MySql Power BI AWS (EC2 AWS (S3 AWS (Lambda AWS (Glue AWS (Athena Data Analysis Data Engineering Matplotlib Data Cleaning Statistical Analysis Big Data ETL Tools Apache Kafka Apache Airflow DBT scikit-learn Pandas NumPy

Work Experience

Data Analytics Intern

ELiteTech Intern

May 2025 - Jul 2025

Worked with large datasets using PySpark to analyze data and extract meaningful insights for business use cases. Created an interactive Power BI dashboard to track sales performance, key metrics, and trends in a clear and user-friendly way. Assisted in building machine learning models for customer churn prediction and sentiment analysis, gaining hands-on experience with real-world data.

Data Science & AI/ML Intern

YBI Foundation

May 2024 - Aug 2024

Developed and evaluated machine learning models for real-world business problems. Built complete ML pipelines including data cleaning, feature engineering, training, and evaluation. Prepared technical documentation and presented analytical findings.