Ashutosh Sharma

Data Analyst

Contact

sharma.ashutosh.work@gmail.com

9284073347

Pune

Skills

SQL  Python  Microsoft Excel  Power BI  Tableau  MySQL  Data Analysis  Data Cleaning  Data Visualization  Power Query  DAX  Pandas  NumPy  Scikit-learn  Exploratory Data Analysis (EDA)  Statistical Analysis  ETL  Dashboard Development  KPI Reporting  Business Intelligence  Data Modeling  Feature Engineering  Machine Learning  Git  GitHub  AWS  Microsoft Azure  Looker Studio  Prompt Engineering  Generative AI 

Links

https://github.com/SharmaAshuu

https://www.linkedin.com/in/ashutosh-sharma-in/

https://sharmaashuu-ashutosh-sharma-portfolio.streamlit.app/

Summary

I'm a Data Science & Analytics postgraduate with a strong foundation in turning raw data into clear, actionable business insights. My toolkit spans Python, SQL, Power BI, Tableau, and Machine Learning — and I've applied all of it across real-world projects, not just coursework. From building end-to-end credit risk prediction pipelines deployed on AWS, to designing BI dashboards that track KPIs for drug sales and insurance claims, I focus on delivering work that actually moves the needle — not just pretty charts. What sets me apart is my cross-disciplinary background: a science foundation in Biotechnology and Microbiology gives me a structured, hypothesis-driven approach to problem-solving that pairs naturally with data work. I'm also deeply interested in the intersection of AI and analytics — with hands-on exposure to Generative AI tools and Prompt Engineering, I stay current with where the field is heading. I'm actively seeking entry-level Data Analyst roles where I can contribute immediately, grow fast, and help teams make smarter decisions with data. 📩 Let's connect: sharma.ashutosh.work@gmail.com

Education

Post Graduate degree in Data Science And Data Analytics — August 2025 - May 2026
Imarticus learning
  • Actively participated in hands-on data science projects, machine learning model development, Power BI dashboard creation, SQL and Python programming, exploratory data analysis (EDA), NLP applications, group assignments, technical workshops, and collaborative case study presentations.

Projects

  • Credit Risk Prediction & Analysis | Python, Scikit-learn, Decision Trees, SQL, Power BI, AWS
  • • Built end-to-end data pipelines for preprocessing, feature engineering, and predictive modeling using Scikit-learn Decision
  • Trees.
  • Medi Sense – Pharmaceutical Drug Review Sentiment Analysis | Python, NLP, Scikit-learn, TF-IDF, Logistic Regression, Stream lit - Developed an end-to-end NLP model to classify 215K+ drug reviews with 92–94% accuracy, deploying an interactive Stream lit
  • application for real-time sentiment prediction.
  • Drug Sales Report Dashboard | Power BI, DAX, Trend Analysis, Data Visualization
  • • Designed a Power BI dashboard to track drug revenue, identify top and bottom-performing products, and evaluate
  • customer purchase trends.
  • Insurance Claim Performance Dashboard | Power BI, DAX, KPI Tracking, Business Intelligence
  • • Engineered a Power BI dashboard to monitor settlement rates, processing timelines, and overall claim performance
  • metrics.
  • Superstore Sales Analysis Dashboard | Tableau, Sales Analytics, Data Visualization
  • • Developed an interactive Tableau dashboard to visualize sales metrics, product performance, and regional trends using
  • the Superstore dataset.
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