Akshat Pande
Data Scientist | AI & Cloud Engineer
New Delhi, India · 📧 mail@pandeakshat.com · 📱 +91-9958091895
Profile Summary:
Applied Data Scientist and Cloud Engineer with 3+ years of experience specializing in automation, practical ML systems, and scalable pipelines. Proven track record of deploying models for logistics and healthcare, reducing manual workloads and audit errors by up to 80%. Skilled in converting messy operational data into reliable, automated workflows using Python, SQL, and Cloud (AWS/Azure) infrastructure.
Experience
EXP-ER (Founder & Freelance Data Consultant)
New Delhi, India (Remote) | Jul 2025 - Present
- Deployed 4 end-to-end ML/data projects across Logistics, Healthcare, and Engineering sectors.
- Airline Logistics: Architected a route optimization and hub-allocation model, accelerating strategic decision-making for alternative route selections.
- Healthcare AI: Developed a medical plausibility scoring model for Alzheimer's research, delivering full technical documentation and validation to clinical stakeholders.
- Digital Strategy: Revamped web infrastructure and digital strategy for engineering firms (ADICON & AdyaShakti), modernizing their data presence.
Dualchain (Head of Development, Volunteer)
London, UK (Remote) | Aug 2022 - Present
- Built a modular web ecosystem and strategy portal with automated CI/CD pipelines, increasing user adoption by 20%.
- Optimized DEX aggregator API, reducing calls by 66% (3 to 1) and halving transaction time.
- Migrated infrastructure to cost-optimised hosting, eliminating server costs while designing a framework to track user contributions.
Sloane Square Hotel (Night Receptionist & Auditor → Data & Operations)
London, UK | Nov 2023 - Jun 2025
- Standardized reconciliation for a 100-room property by writing Python/Excel scripts, cutting calculation time by 30+ minutes per night.
- Reduced financial reporting errors from 7 to <2 per night by automating validity checks.
- Deployed an internal SOP website to centralize knowledge, reducing documentation lookup time by approx. 50%.
Homes for Students (Senior Customer Service Advisor → Analytics)
London, UK | Apr 2022 - Nov 2023
- Managed KPI reporting for 200+ housing units via Power BI.
- Analyzed 50+ monthly complaints to reduce recurring operational issues by approx. 20%.
Skills
Languages & Frameworks:
Python (Pandas, NumPy, Scikit-learn, TensorFlow), SQL, Streamlit, FastAPI
Cloud & DevOps:
AWS & Azure, Docker, CI/CD (GitHub Actions), Firebase, MongoDB
Data Engineering:
ETL Pipelines, Excel Automation, Data Validation, Schema Design
Machine Learning:
Churn Prediction, Forecasting (ARIMA), NLP, Feature Engineering
Visualization & BI:
Power BI, Tableau, KPI Design (GMV, Margins, Stock Health)
Projects
- Customer Intelligence Hub — Streamlit, FastAPI, Scikit-learn
Developed a churn prediction and customer scoring application. Integrated automated data audits which reduced Quality Control (QC) time by approx. 40% while achieving 85% model recall. - Sales & Performance Dashboard — Python, SQL, Pandas, ARIMA
Built an end-to-end BI dashboard processing 10K+ rows weekly. Implemented ETL validation pipelines and ARIMA forecasting to predict future sales trends. - Data Audit Toolkit — Streamlit, Pandas
Engineered a rapid assessment framework that detects schema errors and outliers in <60 seconds. Currently used to validate data quality across 50+ distinct datasets.
Education
M.Sc. Financial Technology with Data Science
University of Bristol, UK | (2021-2023)
Thesis: Analysis & Indexing of Blockchain Technologies using Carbon Footprint
B.Tech. Computer Science & Engineering
Amity University, India | (2017-2021)
Major Project: Music Genre Classification using AI
Certifications
- Google Data Analytics (2023)
- AWS Cloud Foundations (2022)
- IBM Data Fundamentals (2025)
- Bloomberg BMC + ESG (2025)
- Google AI Essentials (2024)
- NPTEL Social Network (2021)