I am
Nikhil Katiki

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About Me



I am a Masters Business Analytics candidate at Purdue University, undergoing intensive formal training in Predictive Modeling, data visualization and, big data aspects of analytics.

Prior to my master's, I was with HSBC for more than one year, performing model monitoring, developing challenger models and driving business intelligence projects. I also worked for EXL Analytics for 3 years, developing propensity models for cross selling accounts, credit risk models, collections models in the banking and finance domain

I look forward to working with a world-class analytics team in the future where I can combine my soft skills, business acumen, and technological knowledge to tackle challenging problems!

When I'm not at work I like spending time, playing outdoor sports or in social reform conversations.

Experience and Education

I never stopped learning and applying. Take a look at my learnings and accomplishments

SIL International

Data Scientist
(Jan 2022 - Now)
  • Deploy massively multilingual dictionary in GraphQL through ETL using Hugging face and TensorFlow saving $3000 and 100+ man hours per project

HSBC, Assistant Manager

Model Monitoring
(May 2020 - July 2021)
  • Analyzed strategies, built challenger model using python, improved profit by 0.5% amounting to $1mn
  • Directed a Business Intelligence Project with business head streamlining data analysis and saved 0.5 FTE
  • Supervised, trained, and mentored 5+ new joiners in Basel regulatory modelling
  • Metrics used: Population Stability Index, Character Stability Index, Gini, K-Statistic
  • Portfolios: Personal loans existing to bank, Personal loans Digital, Retail banking business (SME)
  • Tools used: Python, SAS, Excel, VBA, SQL, Qlikview
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More

EXL Service, Bengaluru, India

Consultant, Analytics
(Apr 2019 - Apr 2020)
  • Smart Collect and APAC
    • Built collections model, strategy using python and AWS to digitally optimize by incrementing revenue of 10%
    • Successfully converted POC to full time client by adding a business value of $2.3mn in 2 months
    • Metrics used: Accuracy, Confusion matrix
    • Portfolios: Loans
    • Tools used: Python, SAS, Excel
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    More
  • CECL Modelling
    • Conducted survival analysis on PD, Logit EAD models for personal loans businessto calculate lifetime losses
    • Developed segment level historical loss rate credit risk models using reversionto mean
    • Led a team of 3 analysts to deliver models with < 10% error rate per quarter
    • Metrics used: Quarterly loss rate, AIC, BIC, Adjusted R2
    • Portfolios: Personal Loans
    • Tools used: SAS, Excel, Python
    • Key words: Variable clustering, Stratified sampling, Stress testing, Interaction variables, Variable reduction methods
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    More

EXL Services

Business Analyst
(Sep 2017 - Apr 2019)
  • Impairment Forecasting
    • Assisted banking client in creating IFRS 9 Impairment reporting for $5.2bn loans business for 10 markets
    • Predicted future PDs with 90% accuracy and performed stress testing to assess bank health
    • Metrics used: Quarterly loss rate
    • Portfolios: All loans portfolio
    • Tools used: SAS, Excel, Python, SQL
    • Key words: Stress testing, Loss forecasting models
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    More
  • Data Sales MI
    • Deployed a visualization tool using SQL & Tableau for $5bn retail banking products, reduce mitigation by 2%
    • Developed propensity model and implemented data driven cross-selling strategy to upsell 1 mn CASA accounts
    • Metrics used: Quarterly loss rate, AIC, BIC, Adjusted R2
    • Portfolios: Personal Loans
    • Tools used: SAS, Excel, Python, SQL, Tableau
    • Key words: Propensity models, Data Gathering, Data preprocessing
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    More

Marketing Management Internship

IIM Lucknow
  • Learnt how to improve their presentation skills
  • Learnt the basic concepts of Marketing Management
  • Learnt to apply these basic concepts of Marketing to solve Harvard Business School case studies
  • Created a Marketing Plan for a new Android App.

Purdue University, Krannert School of Management
West Lafayette, IN

Master of Science in Business Analytics and Information Management
(June 2022)
Relevant Course Work

  • Business Analytics
  • Data Mining
  • Time Series Forecasting
  • Analyzing Unstructured Data
  • Machine Learning

  • Deep Learning
  • Change Management
  • Pricing Strategies & Analysis
  • Business Marketing

National Institute of Technology, Jamshedpur, India

B.Tech. (Hons.), Electronics and Communication Engineering
(May 2017)
Relevant Course Work

  • Linear Algebra
  • Calculus
  • Probability & Statistics
  • C Programming

  • Differential Equations
  • Database Management Systems
  • Statistical Inferences & Applications
  • Graphs & Networks

Projects

Projects are the great way of learning things

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Retail Recommender

Designed system to recommend products using Association rule mining, Collaborative filtering with an AUC ≈ 0.88 to improve user activity and user engagement

 

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Wildfire Predictions

Presented a wildfire prediction model with an accuracy of 84% for Machine Learning Hackathon by Tredence Inc.; Won 3rd position among 40+ teams across the world

 

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NLP Classification on Craigslist

Improved customer and advertiser experience for jobs on Craigslist by providing subcategories for resumes using LSTM; projected increase in customer satisfaction by 5%

 

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Bankruptcy Prediction

Designed automated decision-making tool for customer acquisition for credit card portfolio of a bank with ROC ≈ 0.8 to enhance revenue

 

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Deep Learning

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Advanced Business Analytics

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Linear Optimization with Python

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Optimization with SAS

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Skills

I can provide my expertise in following areas

Statistical Techniques

Linear Regression
Logistic Regression
LASSO Regression
Decision Trees
Random Forest
Gradient Boosting
Artificial Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks
Long Short-Term Memory

Software Skills

Python
SQL
AWS
SAS
Github
Tableau
Powerpoint
Advanced Excel

Personality Traits

Tenacious Worker
Problem Solver
Analytical Thinker
Strategic Decision Maker
Responsible Owner
Competitive Learner