Shantala Mukherjee

I love working with data.

About Me

My core strength lies in bridging the gap between complex business needs and practical data and technology solutions. My focus is on delivering tangible results:- Process Efficiency: Automated month-end reporting on performance attribution and risk analysis by building Excel and Power BI dashboards integrated with FE FundInfo, Bloomberg, and Morningstar APIs, eliminating manual data handling and cutting reporting time by 3 hours per month through instant, refreshable reports.- System Modernisation: Led comprehensive gap analysis of performance and risk systems (Eagle PMS, Bloomberg PORT/Blackrock Aladdin, iLEVEL/eFront) across asset classes to identify data pipeline needs, resolve functionality gaps, and ensure a seamless transition from current to target systems.Beyond my core work, I enjoy working on data analysis and visualisation projects using Python and other visualisation tools (see my 'Projects' section). This curiosity helps me stay ahead of emerging tech trends in the investment space.Let's Connect: I am actively exploring challenging roles as an Investment Data Scientist and Solutions Consultant, where I can leverage my expertise in performance analysis, data pipeline modernisation, and Python programming to drive strategic decisions.

Skills

Python | SQL | Excel | Tableau | Power BI

  • Consulting

  • Data Analysis

  • Investment Analysis

  • Risk Analysis

  • Performance Analysis

  • Python

Contact

Follow the links in the footer to connect with me on social media! Or contact me directly via the form below.

Projects

PYTHON | SQL | MLData Visualisation and Clustering Analysis of HDB Resale Prices Across Singapore TownsGitHub Repo

PYTHON | FINANCE | MLMultiple optimisation strategies (Max Diversification, Min CVaR, Equal Weighted) on a portfolio of ETFs, with results deployed in a Python Vizro dashboard. Deployed on HuggingFace Spaces.GitHub Repo