---
title: "Gokul Krishna K - Deputy Manager in Mumbai | Tal"
description: "Meet Gokul Krishna K, Quantitative solutionist. NITT, TISS, IIMB, HFSW, Idobro, Newton School, LTFS, Voluntās, SUDL, WorldQuant based in Mumbai. AI stack includes claude code."
image: "https://tal.club/meet/gokul-krishna-k/share-image"
---

# Gokul Krishna K on Tal

## Headline

Quantitative solutionist\. NITT, TISS, IIMB, HFSW, Idobro, Newton School, LTFS, Voluntās, SUDL, WorldQuant

## About

High\-functioning Data Scientist with an engineering and analytical background from NIT Tiruchirappalli and TISS Mumbai\. I have held several roles of responsibility with proven expertise in automation, machine learning, data analysis, statistical and financial risk modeling, performance analysis and secondary research and reporting, with a special interest in algorithms and quantitative strategies\.

## Location

Mumbai

## AI stack

claude code

## Work experience

Deputy Manager at Star Union Dai\-ichi Life Insurance Company Limited, May 2024 \- Present · 2 yrs 5 mos, Navi Mumbai, Maharashtra, India

Analyst at Voluntās, Oct 2023 \- Apr 2024 · 7 mos, Mumbai Metropolitan Region, \- Coded a complex automation framework that utilises proprietary statistical methodology and generates 6 client reports/minute \- Created a factor model of 20 questions using SEM for a novel index that quantifies Meaningful Living into a composite score\. \- Conducted chi\-square and t\-tests along with CFA for a pilot project report with model and venv documentation\. \- Used Bayesian Topic Modeling on 200 primary survey datapoints to create drivers for a Youth Meaningfulness Index\.

Machine Learning Intern at L&T Finance, Apr 2023 \- Jun 2023 · 3 mos, Mumbai Metropolitan Region, As a part of the ML solutions team, I employed Deep Learning techniques to perform topic modelling and time series forecasting to help decision\-making at the field level\. I also handled a few types of PD models that allowed me to assess customers based on risk\. \- Brought the MAPError for time series forecasting of disbursements down to 28% using decision trees and neural networks\. \- Conducted time series EDA and linear regression for hypothesis testing on quarterly results of top 10 competitors\. \- Identified three major areas of concern by conducting topic modeling on unstructured comment/review data using LDA\. \- Utilized Hyperparameter Tuning and SMOTE to increase the accuracy of PD risk model validation processes by 2%\. \- Deployed Clustering models to perform risk assessment of different client profiles, including LGBM/XGBM Feature Selection\.

Data Science Content Intern at Newton School, Mar 2023 \- Jul 2023 · 5 mos, Remote, I helped design the curriculum and questions for the certificate course in Data Science provided to the batch of 2023\-24\.

Research and Policy Intern at Hibiscus Foundation, Apr 2021 \- Aug 2023 · 2 yrs 5 mos, Chennai, Tamil Nadu, India, I worked as a part of the World No Tobacco Day project officially recognized by the WHO\. I also represented HFSW in the Paris Forum as an Action Coalition Member of the Generation Equality project led by the UNW\. I also made posters, social media posts and brochures for the civil society organization, which primarily operates on online forums\.

## Education

MSc in Analytics, Tata Institute of Social Sciences

Bachelor of Technology \- BTech, Mechanical Engineering, National Institute of Technology, Tiruchirappalli

[View the original profile](https://tal.club/meet/gokul-krishna-k)

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