Shrikant Akolkar

Data Science student

Pune, Maharashtra 0+ yrs exp 86 · Excellent

About

Data Science student at DBATU with hands-on experience in data analytics, Power BI dashboarding, and SQL-driven insights. Built a multi-page Sales Performance & Insights Dashboard with DAX-based forecasting, and engineered a Customer Churn Prediction model to inform retention targeting. HackerRank SQL Certified; skilled in Python, Power BI, Power Query, Excel, and data visualisation.

Skills & Expertise (30)

Python Intermediate

7.5/10

0.5

Years Exp

Pandas Intermediate

7.0/10

0.5

Years Exp

Power BI Intermediate

6.5/10

0.5

Years Exp

scikit-learn Intermediate

6.5/10

0.5

Years Exp

SQL Intermediate

6.5/10

0.5

Years Exp

Excel Intermediate

6.0/10

0.5

Years Exp

Data Cleaning Intermediate

6.0/10

0.5

Years Exp

Jupyter Notebook Intermediate

6.0/10

0.5

Years Exp

Data Modelling Intermediate

5.5/10

0.5

Years Exp

Seaborn Intermediate

5.0/10

0.5

Years Exp

Matplotlib Intermediate

5.0/10

0.5

Years Exp

Forecasting Intermediate

5.0/10

0.5

Years Exp

Tableau Intermediate

5.0/10

0.5

Years Exp

Git Intermediate

5.0/10

0.5

Years Exp

Django Beginner

4.5/10

0.5

Years Exp

REST APIs Beginner

4.5/10

0.5

Years Exp

PyTorch Beginner

4.0/10

0.5

Years Exp

TensorFlow Beginner

4.0/10

0.5

Years Exp

Docker Beginner

4.0/10

0.5

Years Exp

Streamlit Beginner

4.0/10

0.5

Years Exp

FastAPI Beginner

4.0/10

0.5

Years Exp

NumPy CSS HTML JavaScript MySql SQLite Postgresql Power Query DAX

Work Experience

Data Analytics & Data Science Intern

ITROOTS Pvt. Ltd.

Dec 2025 - May 2026

Engineered a Sales Analysis Dashboard in Python, Pandas, Power BI, and Excel; surfaced 3 key revenue KPIs replacing a manual spreadsheet reporting process. Trained a Customer Churn Prediction model using Scikit-learn and SQL, flagging at-risk segments to inform retention campaign targeting; compared 3 classifiers by accuracy.

Data Analytics Intern

IBM SkillsBuild & CSRBOX

Jun 2023 - Jul 2023

Queried and restructured relational databases using SQL, resolving inconsistencies across 3 software performance assessment reports. Scripted data processing pipelines in Python, cutting manual steps by ˜30% and produced visual reports that reduced QA review time across 2 cycles.