Gokul Krishna K profile photo 1 on Tal

Gokul Krishna K

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

Mumbai

5+ years of work experience

Star Union Dai-ichi Life Insurance Company Limited
May 20242 yrs 5 mosPresent

Navi Mumbai, Maharashtra, India

Voluntās
Oct 20237 mosApr 2024

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.
L&T Finance
Apr 20233 mosJun 2023

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.
Newton School
Mar 20235 mosJul 2023

Remote

I helped design the curriculum and questions for the certificate course in Data Science provided to the batch of 2023-24.
Hibiscus Foundation
Apr 20212 yrs 5 mosAug 2023

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.

Gokul’s AI Stack

claude code
claude code

Education

Tata Institute of Social Sciences

MSc in Analytics

Tata Institute of Social Sciences

20222 yrs2024
National Institute of Technology, Tiruchirappalli

Bachelor of Technology - BTech, Mechanical Engineering

National Institute of Technology, Tiruchirappalli

20184 yrs2022

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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