Sankalp Singh

AI Researcher

India1 yr 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed impactful AI solutions in Fintech.
Optimized processes reducing time from weeks to minutes.
Strong foundation in Machine Learning and Data Science.

Stackforce AI infers this person is a Data Scientist specializing in Fintech and SaaS industries.

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Skills

Core Skills

Machine LearningData ScienceNatural Language Processing (nlp)Data Analysis

Other Skills

AutomationBigSQLClusteringComputer LanguageCustomer ClusteringCustomer Segmentation StrategyData EngineeringDecision TreesDeep Reinforcement LearningDemand ForecastingDevOpsDockerDocker ProductsGCPGitHub

About

B.Tech graduate from IIT Roorkee, with strong skills in Machine Learning, Data Science, Python, TensorFlow, HuggingFace, SQL, GCP, and Docker. Previously worked as a Graduate Engineer (Data Scientist) at JM Financial Services, Mumbai, where I have delivered impactful AI solutions like Building a Deep Reinforcement Learning-based matchmaking model,Fine-tuned GPT-3.5 for financial QA assistant,Developed a News Sentiment Analysis model,Automated a week-long manual process into 5 minutes. Interned as Data Analyst at AcumenCog (Germany), where I designed a customer clustering algorithm and optimized SEO performance, and as a Data Science Intern at The Sparks Foundation, applying clustering and regression techniques.

Experience

Jm financial services ltd

Data Scientist

May 2023 – Mar 2025 · 1 yr 10 mos · Mumbai, Maharashtra, India · On-site

Machine LearningData SciencePythonTensorFlowHuggingFaceSQL+2

Acumencog

Data Analyst

Apr 2022 – Jul 2022 · 3 mos

Devised and deployed an algorithm to help them determine their best cluster of customers usingUCBmethod having an accuracy of 87.8%. Optimized their website for better SEO performance which included creating Alt texts boosting the rankings of page to top 10 and downloads from 1k to 10k+ on Play Store

Customer ClusteringSEO OptimizationData Analysis

The sparks foundation

Data Science Specialist

Feb 2021 – Mar 2021 · 1 mo

Modelled a relationship between a student’s marks on various factors such as sleep, diet and study. Created and applied cluster algorithms for consumers with an accuracy of 81.8% using KNN and hypertuned its parameter.

ClusteringRegression TechniquesData Analysis