Open to Data Analyst • Software • ML roles

Applied Data Analytics for Operations & Business

Raneet Roy

Computer Science graduate with hands-on experience in data-driven operations, Python, SQL, and machine learning, currently working in Supply Chain Operations at Flipkart (InstaKart). I operate at the intersection of technology and analytics, building MIS reports, monitoring SLAs, analyzing process efficiency, and supporting high-volume operations.

Alongside industry experience, I’ve developed machine learning projects focused on classification, model evaluation, and performance optimization using tools like scikit-learn, NumPy, and Pandas. I’m seeking Data Analyst, Software, or ML-oriented roles where strong technical execution and real-world impact are valued.

Currently
Flipkart (InstaKart Services) — Supply Chain Operations (SCCP), B2C Dept. (Sep 2024 – Present)
Raneet Roy
Skills
PythonSQLExcelC++HTML/CSSJavaScript
Libraries: NumPy, Pandas, Matplotlib • ML: scikit-learn
PROJECTS

Selected work

Binary Classification (CSIR–CMERI)

Summer internship project focused on supervised ML benchmarking and evaluation.

  • Benchmarked SVM, Random Forest, Logistic Regression (scikit-learn).
  • Evaluated accuracy, precision, recall, and F1-score.
  • Tuned SVM achieved best precision & F1.

GitHub → Raneet-Roy/CSIR-CMERI

Music Player

A UI-driven project demonstrating frontend logic and user interaction.

  • Play / pause / next / previous controls.
  • Playlist-style navigation and track browsing.
  • Built for smooth user experience and clean interface.

GitHub → Raneet-Roy/Music-Player

Fashion MNIST (Deep Learning)

Deep learning classification workflow with training + evaluation.

  • Data preprocessing and training pipeline.
  • Trained a neural network and evaluated performance.
  • Clean experimentation setup for reproducible runs.

GitHub → Raneet-Roy/mnist-DL

EXPERIENCE

Work Experience

Flipkart (InstaKart Services) — SCCP

Sep 2024 – Present • B2C Dept., Haringhata Kalash-RDC

  • Supervised GRN, packaging, put-away, inventory operations for efficiency & compliance.
  • Led teams and MIS reporting (utilization, attainment %, adherence across VMS/Tag Loop/SPF).
  • Hourly follow-ups on inbound/outbound to ensure SLA compliance.
  • Supported high-volume operations during peak season (Big Billion Day).

CSIR-CMERI — Summer Intern

May 2023 – Jul 2023 • Binary Classification

  • Benchmarked models and validated performance metrics.
  • Tuned SVM and documented evaluation outcomes.
  • Communicated results clearly with structured reporting.

Education

Dr. B. C. Roy Engineering College, Durgapur
BTech CSE — CGPA 8.48

Achievements

  • HackerRank: ★★★★★ in C++
  • Microsoft AI-900: 731
  • Cocubes AON: 583
CONTACT

Let’s connect

Best way to reach me is email or LinkedIn.