Aman Jain

Data Scientist

Delhi, India5 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in Generative AI and Large Language Models.
Proven track record in predictive modeling and data-driven insights.
Hands-on experience with advanced DevOps for data science.

Stackforce AI infers this person is a Data Scientist specializing in AI-driven solutions across various industries.

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Skills

Core Skills

Data ScienceDeep LearningMachine Learning

Other Skills

AlgorithmsAnacondaApplied Machine LearningArtificial Intelligence (AI)Big DataC (Programming Language)C++Chatbot DevelopmentCircuit DesignCoachingCommunicationComputer ScienceData AnalysisData AnalyticsData Entry

About

Data Scientist with 4 years of experience specializing in geospatial data analysis, predictive modeling, and deep learning for resource optimization and risk assessment. Expertise in Generative AI and Large Language Models (LLMs), with hands-on experience in fine-tuning, prompt engineering, and deployment of AI-powered solutions. Proficient in DevOps for data science (Docker, Kubernetes, Azure Pipelines) and advanced feature engineering. Proven ability to deliver data-driven insights and scalable solutions.

Experience

5 yrs 2 mos

Total Experience

2 yrs 7 mos

Average Tenure

4 yrs 10 mos

Current Experience

Deepiq

Data Scientist

Aug 2021 – Present · 4 yrs 10 mos · India · Remote

Actively involved in designing and implementing a GEN-AI-powered Text-to-SQL chatbot, enabling seamless querying of SQL databases using natural language, Eliminating the need for prior SQL knowledge.
Worked on knowledge graphs for the drilling domain, developing ingestion pipelines to extract insights from unstructured client data.
Used computer vision techniques on satellite imagery datasets to identify mineral-rich zones for mining applications.
Extensive experience with Databricks and PySpark, having contributed to DeepIQ’s DataStudio tool by developing Spark Streaming and Deep Learning components. These enhancements enabled users to effortlessly create and schedule big data workloads through an intuitive drag-and-drop UI.

Gen AIText-to-SQL chatbotknowledge graphscomputer visionsatellite imageryDatabricks+3

Averyx group

AI and ML Consultant

Apr 2021 – Aug 2021 · 4 mos · Dubai, United Arab Emirates

Led a five-member team in building an OCR tool to scan balance sheets, significantly improving the efficiency and accuracy of financial data processing for clients.
Developed sports prediction models to estimate odds of winning for cricket and tennis matches using machine learning techniques.
Worked on time series modeling for cryptocurrencies, applying statistical and ML algorithms to analyze market trends.
By integrating diverse data sources and cutting-edge algorithms, I consistently delivered high-accuracy models for both sports analytics and financial forecasting.

OCR tool developmentsports prediction modelstime series modelingmachine learning techniquesdata integrationMachine Learning+1

Tsaaro

Machine Learning Intern

Feb 2021 – Apr 2021 · 2 mos · Delhi, India

Developed PII filtering models for sensitive financial and medical data.
I also conducted market research on AWS Marketplace to identify optimal placement for a desktop application, which involved developing IPC scripts using Electron.js. Additionally, I tested software across diverse datasets to generate informative project insights.

PII filtering modelsmarket researchIPC scriptssoftware testing

Indian institute of technology, kanpur

IOT and ML Intern

Jun 2019 – Jul 2019 · 1 mo · Kanpur, Uttar Pradesh, India

Applied machine learning to solve real-world challenges, including text summarization, chatbot development, and stock price prediction using time series analysis. I gained a deep understanding of the architecture and application pipelines of key ML models such as Perceptrons, CNNs, RNNs, LSTMs, and Linear Separatrix.
Beyond ML, Worked with IoT modules like Raspberry Pi and NodeMCU, collecting data from infrared and ultrasonic sensors to enhance automation and trained autonomous robots using both lab-collected and self-collected datasets.
Developed hands-on expertise with ESP8266 WiFi modules, DC motors, servo motors, Arduino Nano, NodeMCU, and motor driver modules.

machine learningIoT modulesdata collectionautomation