Open to opportunities

Deepro User

@deeprouser

Message

I build financial models and data-driven insights for business decisions.

Canada

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What I'm looking for

I'm looking to apply financial modeling, forecasting, automation, and data analysis to help teams make stronger investment, planning, and growth decisions.

At FIN IP Group, I develop financial and revenue models, scenario analyses, KPI dashboards, and market analyses that support intellectual property transactions generating multi-million-dollar annual recurring revenue.

I've also automated MIS reporting and CPI predictions at Tata Asset Management using Python, AWS Cost Explorer, and time-series analysis. My research experience includes machine learning pipelines, Random Forest classification, principal component analysis, and K-means clustering, backed by an MBA in Business Analytics and Advanced Financial Modeler certification.

Experience

Work history, roles, and key accomplishments

Current

Senior Financial Analyst

Current

Fin IP Group Inc.

Oct 2023 - Present (2 years 10 months)

Develops financial and revenue models with forecasts and scenario analyses supporting client IP transactions. Performs variance analyses and prepares management reports and KPI dashboards.

Financial Modeling Forecasting scenario analysis Accounting Financial Reporting Forecasting and KPI Dashboards Data Analysis Excel

Business Analyst

Tata Asset Management Limited

May 2021 - Jun 2022 (1 year 1 month)

Developed Python scripts to automate data extraction and reporting, improving MIS efficiency. Collaborated with fund managers on CPI predictions and stock market simulations.

Python Automation Data Extraction Reporting AWS Cost Explorer Time Series Analysis MIS

Research Assistant

WB Accelerated Development of Minor Irrigation Project

Feb 2020 - Apr 2020 (2 months)

Updated Stata and adapted Python with Sklearn to create data pipelines, reducing processing time by 30%. Implemented Random Forest classification for policy design.

Python Stata scikit learn Data Pipelines Data Visualization Matplotlib SeaBorn Machine Learning Random Forest

Research Assistant

A.K Dasgupta Centre for Development & Planning

Jul 2018 - Jul 2019 (1 year)

Deployed Principal Component Analysis for dimensionality reduction, leading to 42% faster data analysis. Categorized operational holdings using K-means clustering.

Principal Component Analysis Data Analysis Dimension Reduction Human Development Index

Education

Degrees, certifications, and relevant coursework

Carleton University

Master of Business Administration, Business Analytics

2022 - 2023

Pursued a Master of Business Administration with a focus on Business Analytics, covering managerial and financial accounting and financial management.

Visva Bharati University

Master of Arts, Economics

2016 - 2018

Activities and societies: Awarded Scholarship in Semester 1 & 2 for academic excellence, Ranked 4 in Class.

Earned a Master of Arts in Economics, with coursework in econometrics, computer applications, and quantitative methods. Awarded scholarship for academic excellence in semesters 1 and 2.

Visva Bharati University

Bachelor of Arts (Hons), Economics

2013 - 2016

Activities and societies: Ranked 4 out of 30,000+ applicants in Visva Bharati Common Admission Test (VBCAT), 2013.

Completed a Bachelor of Arts (Hons) in Economics, ranking 4th out of over 30,000 applicants in the Visva Bharati Common Admission Test (VBCAT) in 2013.