Hi, I'm Abhishek.

Data Scientist & Analyst with 5+ years of Experience — I build robust data products and services that turn messy data into decisions.

Abhishek Kumar portrait

Projects

River Flow Forecasting — Taff River

End-to-end pipeline (NRFA ETL → Linear Regression/SVR/Neural Network) forecasting next-day river levels; ~96.5% correct up/down direction and ~3.5% average error (MAPE).

Python · Machine Learning · Time Series . Model Optimisation

Code · Report

Energy Usage Prediction — Residential

Predicted household energy consumption with Linear Regression, Random Forest, LightGBM & Neural Network; surfaced key drivers (weather/seasonality) and insights to reduce peak-load demand.

Python · Machine Learning · EDA · Visualization

Code· Report

Gen-AI Log Classifier

Hybrid Regex + BERT embeddings + Logistic Regression served via FastAPI; cut log triage time by ~20% and improved routing accuracy.

Python . Regex · NLP · Llama model . FastAPI · Docker

Code

Crew Scheduling Forecasting — Jakarta 118 Ambulance

Forecasted Crew demand & staffing with Naïve, SES, Holt/Holt-Winters, and ARIMA; produced shift recommendations that improved coverage and reduced idle time.

Python . Time Series Forecasting · ARIMA · Holt-Winters · SES

Code · Poster

E-commerce Sales Dashboard (Power BI)

Interactive BI app tracking revenue, profit, quantity and AOV with quarter slicers. Breakdowns by state, category, payment mode, and sub-category plus monthly profit trend and top customers. Used to flag stock risk and margin drivers—helped cut stockouts ≈20% and reduce overstock ≈10%.

Power BI · DAX · Data Modeling · SQL/Excel

Code · Screenshot

Indian Eatery Chatbot — Order & Support

Dialogflow (ES/CX) + FastAPI backend with MySQL; answers menu FAQs, tracks orders, and escalates to staff when needed. Designed intents, entities, and handoff logic; deployable via Docker/ngrok.

Python . Dialogflow · NLP · FastAPI · MySQL · Docker

Code · Demo

Experience

Data Analyst — Euroclick Ltd

Cardiff, UK · Mar 2024 – Present

  • Redesigned sales dashboards, driving ~15% sales uplift by highlighting high-margin products.
  • Built stock alert models and trend analysis, reducing stockouts by ~40% and overstocks by ~10%.
  • Automated data pipelines with Python and SQL, cutting report generation time by ~30%.
  • Collaborated with sales & marketing teams to convert insights into promotions and inventory strategies.

Power BI · Python · SQL · Excel · Notion

SDE — Payments & Data Processing — Kissht

Mumbai, India · Jan 2023 – Sept 2023

  • Designed and deployed microservices for payment & disbursement systems, accelerating transaction flows by ~20%.
  • Integrated APIs from banks/PSPs for real-time financial data processing.
  • Built and optimized MySQL-based services for high-volume financial transactions.

Python · MySQL · AWS · APIs · Kafka · JIRA

Software Developer — Cedcommerce/Cedcoss Technologies

Lucknow, India · Jan 2020 – Jan 2023

  • Built automated data processing systems handling diverse data formats and sources
  • Built automated reporting pipelines using Python & SQL, transforming raw marketplace data into actionable insights.
  • Contributed to marketplace integration systems while embedding analytics into operations and performance tracking.

Python · SQL · MySQL · Data Analysis · Data Visualization · GCP

Skills

Programming Languages

  • Python
  • Pandas
  • NumPy
  • SQL
  • R (basic)

Data Science & ML

  • ML
  • Regex
  • NLP
  • LLMs
  • Scikit-learn
  • PyTorch
  • Stat Modelling
  • TensorFlow
  • HuggingFace

Data Visualization & Reporting

  • Tableau
  • Power BI
  • Matplotlib
  • Plotly
  • seaborn
  • EDA
  • Dashboard Design

Tools & Framework

  • Docker
  • MLflow
  • PySpark
  • AWS
  • Git & GitHub
  • Excel
  • FastAPI
  • A/B Testing

About

Data scientist with 5+ years in analytics and Software engineering (fintech/e-commerce). MSc Data Science & Analytics (Cardiff University, Distinction); B.Tech Computer Science & Engineering (First Class). I turn messy data into decisions.

Contact

Let's talk! Email abhishek.kumar11101@gmail.com or message on LinkedIn.