---
title: "Harshil Rami - Lead Data Scientist in Bengaluru | Tal"
description: "Meet Harshil Rami, Lead Data Scientist based in Bengaluru. AI stack includes deepseek, hermes agent, and hugging face."
image: "https://tal.club/meet/harshil-rami/share-image"
---

# Harshil Rami on Tal

## Headline

Lead Data Scientist

## About

Reflecting on my journey, I'm humbled by the milestones and proud of the challenges I've overcome\. Here are a few highlights: I've had the privilege of working in data science departments and fostering data\-driven mindsets in organizations, turning insights into action\. Whether it's predictive maintenance systems that save millions or optimizing operations to reduce costs, I've always sought innovative ways to make a tangible impact\. From startups to global enterprises, I've collaborated with diverse teams worldwide, gaining insights and perspectives that enrich my approach to problem\-solving\. My passion for machine learning, deep learning, and data engineering has led to the creation of advanced solutions, from AutoML SaaS platforms to IoT\-driven predictive maintenance\. I believe in the power of data storytelling\. It's not just about numbers; it's about weaving narratives that drive change and inspire action, But the journey continues\. I'm excited to explore new horizons and tackle more challenges\. Let's connect and share our stories, because the most incredible achievements are yet to come\.

## Location

Bengaluru

## AI stack

deepseek

hermes agent

hugging face

kimi

langgraph

smolagents

## Work experience

Lead Data Scientist at Cube, Apr 2026 \- Present · 7 mos, Bengaluru

Lead Data Scientist at 4CRisk\.ai, Aug 2025 \- Present · 1 yr 3 mos, Bengaluru, Karnataka, India

Senior Data Scientist at YouData\.ai, Nov 2023 \- Jul 2025 · 1 yr 9 mos, Bengaluru, Karnataka, India, Built and deployed a scalable data engineering pipeline, automating the scraping, transformation, and storage of multi\-modal datasets, scaling the platform's dataset repository to over 1M datasets, reducing manual effort by 50% and enabling faster access to data\. Designed a high\-performance hybrid search engine combining vector database and ontology\-driven search mechanisms, reducing search time to 250ms, improving result relevance by 30%, and increasing user search satisfaction scores by 25%\. Created a comprehensive ontology for datasets to enable better classification, enhancing search accuracy and improving recommendation effectiveness, which increased user retention by 20%\. Developed a personalized recommendation system leveraging ontology and user interaction data, boosting dataset downloads by 35% and driving repeat user engagement by 40%\. Built an agentic chatbot that allows users to create, manage, preview datasets, understand use cases, and request new datasets, leading to a 50% reduction in support requests and increasing user satisfaction ratings by 30%\. Delivered a machine learning\-powered tender shortlisting system for a client, combining semantic criteria and predictive modeling, reducing tender processing time by 60% and saving $500K annually in operational costs\. Developed a document processing system to extract structured information and layout from PDF documents, enabling automated and accurate tender evaluation, which cut evaluation time from hours to minutes\. Fine\-tuned Meta’s 3\.2 70B model with LoRA and reinforcement learning, delivering custom AI solutions tailored to client feedback, resulting in a 40% improvement in task\-specific accuracy and a 25% increase in client project efficiency\. Led cross\-functional teams of data scientists and engineers, driving innovation and ensuring efficient workflows\.

Founding Data Scientist at Merito, Dec 2022 \- Jun 2023 · 7 mos, Mumbai, Maharashtra, India, • As a Founding Data Scientist at Merito, played a pivotal role in establishing the data science department and fostering a data\-driven culture within the company\. I introduced advanced analytics using Polars, a cutting\-edge data manipulation and parallelization framework, resulting in significantly improved data processing and analysis capabilities\. • Designed and managed robust data pipelines utilizing AWS Lambda and AWS S3 for seamless data ingestion and storage\. I also led the development of precise data quality checks and preprocessing techniques to ensure the reliability of our datasets\. I have also worked with REST and GraphQL APIs\. • Created a feature enabling users to converse with and manipulate data interactively through PandasAI, leveraging a Large Language Model \(LLM\)\. • Directly collaborated with clients, and customized KPI solutions to their specific needs, emphasizing a client\-centric approach\. Managing a team of data scientists and engineers, oversaw project execution and resource allocation\. • Leveraged machine learning libraries such as Scikit\-learn and TensorFlow\. Developed forecasting models for user engagement, sales, and inventory\. • Strategically applied product grouping and customer segmentation techniques, particularly beneficial for Indian D2C startups, contributing to Merito's growth in serving over 200 businesses while advancing data\-driven decision\-making as a core mission\.

Data Scientist at Infosenseglobal Inc, Oct 2021 \- Dec 2022 · 1 yr 3 mos, Gandhinagar, Gujarat, India, • Communicated with cross\-functional team members to design and plan the workflow for the AutoML SaaS platform\. • Gathered data from diverse sources including relational &amp; non\-relational databases and files\. Employed a virus scanner to filter out malicious data\. • Designed Data Ingestion and Data Preprocessing pipelines for MLSense\. Applied Feature Selection techniques such as Co\-relation, Chi\-square test, ANOVA test, F\-test, Recursive feature elimination, and Mutual information\. • Developed functionalities for various Machine Learning and Deep Learning models such as Regression, Classification, Clustering, and Anomaly Detection\. • Lead the creation of an NLP pipeline, from data ingestion to deployment\. This initiative significantly enriched the platform's capabilities, enabling advanced text analysis and linguistic insights to be seamlessly integrated into the AutoML SaaS platform\. • Implemented dimensionality reduction techniques such as PCA, T\-SNE, and LDA\. Utilized Airflow to schedule tasks for data preprocessing pipelines and modeling\. • Applied numerous Hyperparameter techniques such as RandomCV, GridCV, Genetic algorithm, and Bayesian techniques to optimize the model\.Used MLFlow for model logging and registry\. Also applied the retraining concept with certain data drift\. • Used the state\-of\-art time\-series forecasting models to predict future values\. Performed time\-series cross\-validation to get better results\. Included holiday effects, detected anomalies, and normalized them for better results\. • Used the information to create interactive dashboards and stories in PowerBi for a non\-technical audience and higher management\.

## Education

Master of Technology \- MTech, Computer Science, PES University

Bachelor of Engineering, Information Technology, Gandhinagar Institute of technology

[View the original profile](https://tal.club/meet/harshil-rami)

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