Mitul Srivastava
Data Scientist & Analyst | ex-EY | MSc Data Science
👋 Hi, I'm Mitul Srivastava, a Data Scientist & Analyst passionate about transforming raw data into actionable insights that drive efficiency and business growth. I'm currently #OpenToWork for full-time roles in Data Science, Data Analytics, or Machine Learning Engineering.
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💡 About Me
  • Previously at EY, where I automated financial audit workflows and built dashboards for global clients, improving accuracy and reducing manual effort by up to 25%.
  • Recently completed my MSc in Data Science (Ireland) as a GOI-IES Scholar, specializing in machine learning, big data, and AI applications.
  • My technical expertise spans Python, SQL, Power BI, R, Docker and GCP.
  • I thrive at the intersection of data, automation, and business impact — crafting solutions that make decisions smarter and faster.
🧰 Technical Toolkit
Languages
Python | SQL | R
Libraries
Pandas | NumPy | Scikit-learn | TensorFlow | PyTorch
Visualization
Power BI | Excel | Matplotlib | Seaborn
Big Data & Cloud
Docker | Kafka | GCP | PostgreSQL
Other Tools
Alteryx | Github
💼 Experience
EY — Advanced Associate (Data Analytics)
📍 Noida, India | Jul 2023 – Aug 2024
  • Validated and analyzed large financial datasets across global engagements, improving audit accuracy and reducing review time by 15–20%.
  • Built 70+ automated workflows and pipelines (Alteryx, SQL, Power BI), reducing manual effort by 25%.
  • Delivered productivity insights that optimized resource allocation and improved chargeability tracking.
  • Mentored new analysts and standardized data validation practices.
Alchemy Techsol — Data Analyst
📍 Gurugram, India | Jun 2022 – Feb 2023
  • Automated data preparation for audits, reducing manual effort by 25% through standardized workflows.
  • Built and maintained ETL pipelines to extract, clean, and transform ERP financial data for audit testing.
  • Strengthened reconciliation and anomaly detection processes, ensuring accurate GL and sub-ledger validation.
  • Delivered interactive Power BI dashboards for evidence-based audit conclusions.
🎓 Education
MSc Data Science
South East Technological University, Ireland (2024–2025)
Recipient: Government of Ireland International Education Scholarship (GOI-IES)
B.Tech, Mechanical & Automation
Delhi Technical Campus, GGSIPU (2017–2021)
Recipient: Academic Excellence Award
🚀 Featured Projects
  • Fine-tuned transformer-based models (DialoGPT, BERT) for empathetic and context-aware dialogue.
  • Integrated sentiment detection, CBT-inspired response strategies, and a RAG knowledge layer.
  • Added voice I/O and validated responses using perplexity and semantic diversity metrics.
🧠 Skills: Python · Large Language Models · Transformers · Conversational AI
  • Built a containerized real-time streaming pipeline (Docker + Kafka), simulating data every 2 seconds.
  • Automated ingestion via Python and visualized insights with Power BI dashboards.
  • Implemented automated backups to ensure reliability and fault tolerance.
🧰 Skills: Apache Kafka · Docker · PostgreSQL · Power BI
  • Analyzed hardware, data generation, and AI investment trends using R, showing a 337% rise in GPU performance and 1814% growth in AI investments.
  • Web-scraped 500+ AGI papers from arXiv and visualized a 1500% increase in AGI research output.
  • Combined multi-source datasets to explore relationships between compute, data, and funding growth.
📊 Skills: R · RStudio · Shiny · tidyverse · dplyr
  • Implemented and tuned 13 ML models (classification, regression, clustering, deep learning).
  • Achieved 5–10% performance gains using hyperparameter tuning and regularization.
  • Deployed a logistic regression model on Hugging Face Spaces for live inference.
🧩 Skills: Python · Machine Learning · Deep Learning · Model Deployment
  • Processed and cleaned 5,900+ USGS earthquake records with Pandas for magnitude and trend analysis.
  • Built an interactive Shiny dashboard with Plotly visualizations for geospatial insights.
  • Enabled users to explore regional activity, frequency, and station–error correlations.
📈 Skills: Python · Shiny · Exploratory Data Analysis · MariaDB
📬 Contact
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