Aspiring Data Scientist | MSc AI & Machine Learning (Scaler Neovarsity / Woolf) | B.Tech Mechanical Engineering
📍 Aurangabad, Maharashtra, India
🔗 LinkedIn | 📧 amitadikane@gmail.com
- 🎓 Currently pursuing MSc in Computer Science: Artificial Intelligence & Machine Learning at Scaler Neovarsity (ECTS-accredited via Woolf University, Malta)
- 🧠 Building strong foundations in Machine Learning, Statistics, Feature Engineering, Hypothesis Testing & SQL Analytics
- 📊 Completed 8 end-to-end business case studies covering E-commerce, Logistics, Consumer Analytics, Education & Credit Risk domains
- 👨🏫 Former Physics Faculty (4.5+ years) for JEE/NEET — strong analytical thinking & communication skills
- 🔧 Background in Mechanical Engineering with hands-on project experience
Languages: Python, SQL, C, C++
Data Science: Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, Seaborn
Statistics: Hypothesis Testing (t-test, ANOVA, Chi-Square), Confidence Intervals, CLT, Linear/Ridge/Lasso Regression
Tools: Jupyter, BigQuery, Git/GitHub, Tableau, Power BI
Currently Learning: Deep Learning, NLP, Computer Vision, ML System Design
| Project | Domain | Key Skills | Repo |
|---|---|---|---|
| LoanTap Underwriting | FinTech / Credit | Logistic Regression, Precision-Recall, Credit Risk | Link |
| Jamboree Admission | Education | Linear Regression, Regularization, Assumption Testing | Link |
| Delhivery Logistics | Supply Chain | Feature Engineering, Aggregation, Outlier Treatment | Link |
| Yulu Bike Sharing | Mobility | Hypothesis Testing (t-test, ANOVA, Chi-Square) | Link |
| Walmart Black Friday | Retail | Confidence Intervals, Central Limit Theorem | Link |
| Aerofit Treadmill | Consumer Goods | Contingency Tables, Conditional Probability | Link |
| Netflix Content Strategy | Media | EDA, Visualization, Business Recommendations | Link |
| Target Brazil E-Commerce | Retail / E-commerce | Advanced SQL, Business Insights | Link |
- Completing Machine Learning module at Scaler (14–18 hrs/day intensive study)
- Reading research papers (recently reviewed: Big Data Analytics in Weather Forecasting)
- Building and polishing GitHub portfolio for Data Scientist / Data Analyst roles
- Preparing for full-time opportunities in Data Science / Analytics
I'm open to Data Scientist, Data Analyst, ML Engineer and related roles.
Feel free to reach out via LinkedIn or email!
⭐ If you find any of my projects useful, consider giving them a star!