Kartikeya Gupta

AI Researcher

Bengaluru, Karnataka, India9 yrs 1 mo experience

Highly Stable

Key Highlights

6+ years of experience in data science and analytics.
Expertise in machine learning and text analytics.
Proven track record in driving data-driven decision making.

Stackforce AI infers this person is a Data Scientist with expertise in Fintech and Retail analytics.

Contact

Skills

Core Skills

Machine LearningTime Series AnalysisData AnalysisNatural Language Processing

Other Skills

Anomaly DetectionBashBayesian networksCC++CSS3ClusteringCustomer ServiceData AnalyticsExploratory data analysisHTML5JavaJavaScriptMLOpsMicrosoft Excel

About

Data Scientist with 6+ years of experience in text analytics, machine learning, data analytics, cross platform analytics, search analytics and pricing analytics. Enabled companies from media, retail, manufacturing and services domains in data - driven decision making by leveraging math, programming and business. An enthusiastic learner, loves to experiment and keep updated with latest developments in the field of machine learning and AI.

Experience

American express

2 roles

Senior Machine Learning Engineer

Promoted

Apr 2025 – Present · 11 mos · Bengaluru, Karnataka, India

Machine Learning Engineer

Feb 2020 – Dec 2021 · 1 yr 10 mos · Greater Bengaluru Area

Insider Threat Analysis:
Built & deployed a Bayesian Network based ML model to identify and mitigate Insider threat to the organisation
Anomaly detection of outbound data transfer using Isolation forests and Median absolute deviation
Model performance & fairness monitoring. Deployed on Streamlit
Maintaining deployment on premises infrastructure
Cross-functional collaboration with Engineering, Data Science & Insider threat business teams
Call Volume Analysis:
Built a time series model to forecast inbound call volumes at Amex's customer service in 20 different categories
Data cleaning, outlier detection followed by XGB and LGBM based ensemble

Machine LearningTime Series AnalysisBayesian networksAnomaly DetectionMLOps

Walmart global tech india

Data Scientist

Dec 2021 – Apr 2025 · 3 yrs 4 mos · Bengaluru, Karnataka, India

Mu sigma inc.

3 roles

Apprentice Leader

Jan 2020 – Feb 2020 · 1 mo

Managed a team to help a pharmaceutical giant enrich patient database using machine learning.

Decision Scientist

Sep 2018 – Dec 2019 · 1 yr 3 mos

Pricing Analysis:
Led a team of 6 to identify avenues of margin leakage for an Australian steel manufacturing company. Helped them to uncover potential value leakage areas and provided recommendation for profit maximization. Helped in pricing the SKUs to improve margins to rectify the current situation. Tools/ Techniques used: Python, Exploratory data analysis, Clustering
Search Analysis:
1. Keyword Suggestion: Worked with data science and search analytics team of a US pet care retailer to leverage historical searches to build a 'suggested search' feature. Historical search keywords were cleaned, sanitized, logically grouped and ranked based on relevance to the original searched query.
Tool/Techniques used- Python, text analytics, word2vec, clustering algorithms (K Means and graph based algorithms)
2. Search Keyword Prediction: An LSTM model learnt from a sequence of characters. It takes input a set of characters and spits out the next probable characters based on learnt historical sequences
Tool/Techniques used- Python, text analytics, Recurrent neural network, Amazon EC2

Trainee Decision Scientist

Nov 2016 – Aug 2018 · 1 yr 9 mos

Cross Platform Analysis:
Helped the digital team of one of the largest media networks to identify unauthenticated omni channel viewers (users who do not log in and are present across multiple platforms ex- Mobile, Tablets, FireTV etc.) by mapping their devices using demographic, hardware and viewing features. Model reported 90% recall and 98% precision.
Tool/ Techniques used- Python, Networkx, python-louvain clustering algorithm
Created and maintained weekly/ monthly reports for various teams to-
○ Track/Understand viewer journey across multiple platforms. Identifying the areas of maximum drop-offs, analysing WoW returning viewer etc.
○ Analyse impressions, revenue growth across various networks/ platforms
Tool/ Techniques used - Python, SQL, Google BigQuery

Data science technologies pvt. ltd.

Text Analysis Intern

Jul 2016 – Sep 2016 · 2 mos · Pune/Pimpri-Chinchwad Area

Was responsible for analyzing text from a travel blog and generating leads for various businesses.
Tools/ Techniques- GATE (General Architecture for text engineering), NLP, text analytics. The model generated leads with 85% precision.

Bonanza portfolio ltd

Web Developer Intern

Jun 2015 – Aug 2015 · 2 mos · Mumbai Metropolitan Region

I was responsible for revamping Bonanza's in-house website. The SQL’s written took significantly less time to fetch records compared to the existing queries. I handled both front end and back end functionalities.

Internshala

Social Media Marketing Intern

Jun 2014 – Jul 2014 · 1 mo · Gurugram, Haryana, India

Worked as a social media marketing and content writer intern for a period of 1 month. I was responsible for handling student queries and on various social media platforms. I also maintained a blog on higher studies during my tenure at Internshala.