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Rishabh Malhotra

@rishabhmalhotra

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Data Scientist/ML Engineer with 5 years of experience in solving complex business problems.

India

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What I'm looking for

I am looking for a job that offers a challenging and dynamic environment where I can apply my expertise in data science and machine learning. I am particularly interested in companies that value innovation, collaboration, and continuous learning. I am seeking a role that allows me to work on cutting-edge projects and make a significant impact in solving complex business problems. I am also lookin

Data Scientist/ML Engineer with 5 years of experience in building end-to-end data solutions. I have a strong focus on business metrics and product behavior to solve complex business problems. I have a Bachelor of Technology in Electrical Engineering from PEC University of Technology and a PG Certification in Analytics from IIM Lucknow. Throughout my career, I have developed expertise in languages such as Python, Spark, SQL, R, and BigQuery. I am proficient in frameworks like Scikit, Keras, TensorFlow, PyTorch, Pandas, Numpy, Django, NLP, Flask, and OpenCV. I have hands-on experience with tools like Docker, Mongo, GIT, PostgreSQL, MySQL, Kafka, Hadoop, and Kubernetes. Additionally, I have worked on platforms like AWS (EC2, ECR, ECS, Sagemaker), Azure, GCP, and Databricks. My soft skills include storytelling, public speaking, leadership, and product management. I am also well-versed in Gen AI technologies such as Transformers, BERT, GPT, Langchain, Llama, RayServe, RAG, LORA, Semantic Kernels, and large-scale LLM.

In my current role as a Senior Manager at JIO-AI COE India, I have created and implemented a No Code Non-Linear Constrained End to End Cascaded Optimization framework using Artificial Neural Networks for real-time optimization and enhanced process control for manufacturing equipment across the Oil and Gas industry. I have also developed document extraction techniques using RAG agent, OpenAI, and Mistral, reducing operation manpower by 85%. Additionally, I have built a CNN model for RUL prediction of exchangers and developed a YoloV8 model pipeline for field device sensor value detection.

Prior to this, I worked as a Lead Machine Learning Engineer at Klaim.ai, where I developed a statistical financing portal and designed a complex rule engine and deep learning medical claims detection model. I also established a new data pipeline on Spark and curated an embedded analytics product for clients on Tableau.

Before that, I served as a Senior Data Scientist at HDFC Ergo Pvt. Ltd, where I spearheaded a classification project using spatial clustering, built a fraud detection model, implemented natural language processing techniques, and created a time series predictive model for Covid-19 impact analysis.

As a Data Science Intern at Absolutdata Analytics Ltd, I worked on real-time anomaly detection and signal processing projects for a major energy client and delivered a synthetic control API for hypothesis testing to major clients.

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Experience

Work history, roles, and key accomplishments

Current

Senior Manager- Machine/Deep Learning

Current

JIO- AI COE India

Jan 2023 - Present (2 years 10 months)

Created and implemented a No Code Non-Linear Constrained End to End Cascaded Optimisation framework using Artificial Neural Networks for real-time optimisation and enhanced process control for manufacturing equipment across the whole Oil and Gas industry. Utilized document extraction techniques and developed RUL prediction and sensor value detection models.

Neural Networks RUL Prediction

Current

ML Instructor

Current

Great Learning

Feb 2022 - Present (3 years 9 months)

Taught MIT's and UT Austin's online DS-ML program to working professionals, covering concepts from linear algebra and statistics to deep neural networks and recommendation systems.

Linear Algebra Statistics Neural Networks

Current

Deep Learning Instructor

Current

Physics Wallah (I-neuron)

Feb 2022 - Present (3 years 9 months)

Recorded deep learning lectures and conducted live sessions for the Data Science Masters program.

Deep Learning Computer Vision NLP

Current

ML Instructor (Great Learning)

Current

Great Learning- (MIT’ Boston and UT Austin)

Taught MIT’s and UT Austin’s online DS-ML program. Mentored working professionals on various topics.

Teaching Mentoring

Current

Deep Learning Instructor

Current

Physics Wallah (I-neuron)

Recorded deep learning lectures and conducted live sessions for the Data Science Masters program.

Deep Learning Computer Vision NLP

Current

Senior Manager- Machine/Deep Learning

Current

JIO- AI COE India

Neural Networks

Current

ML Instructor

Current

Great Learning

Taught MIT's and UT Austin's online DS-ML program, mentored working professionals, and conducted marketing webinars.

Teaching Mentoring Linear Algebra Statistics Recommendation Systems

Data Science Consultant

CHARLIE DAO (Web3)

Dec 2021 - Dec 2022 (1 year)

Provided data science consulting services.

Data Science

Lead Machine Learning Engineer

Klaim.ai

Dec 2021 - Dec 2022 (1 year)

Developed a financial lending investment portal, designed a rule engine and deep learning medical claims detection model, established a new data pipeline, and curated an embedded analytics product for clients.

Statistical Techniques Python Spark Django

Senior Data Scientist

HDFC Ergo Pvt. Ltd

May 2019 - Oct 2021 (2 years 5 months)

Led a classification project, built a fraud detection model, implemented text cleaning techniques, and created a Time Series predictive model for deferred business due to the Covid19 pandemic.

Python Logistic Regression NLP Time Series

Data Science Intern

Absolutdata Analytics Ltd

Jan 2018 - Jan 2018 (0 months)

Worked on real-time anomaly detection and signal processing project using DB-Scan clustering, LOF, and Markov Chain. Delivered synthetic control API for hypothesis testing.

Clustering Hypothesis Testing

Data Science Consultant

CHARLIE DAO (Web3)

Provided data science consulting services.

Data Science

Senior Data Scientist

HDFC Ergo Pvt. Ltd

Led a classification project using spatial clustering, built a fraud detection model, implemented text cleaning techniques, and created a Time Series predictive model for Covid-19 impact.

Clustering Classification Fraud Detection NLP Time Series

Data Science Consultant

CHARLIE DAO (Web3)

Provided data science consulting services.

Data Science Consulting

Lead Machine Learning Engineer

Klaim.ai

Developed a financial lending investment portal, designed a complex rule engine and deep learning medical claims detection model, established a new data pipeline, and curated an embedded analytics product for clients.

Statistical Techniques Python Spark Django TensorFlow

Data Science Intern

Absolutdata Analytics Ltd

Worked on real-time anomaly detection and signal processing project using DB-Scan clustering and Markov Chain, and delivered a synthetic control API for hypothesis testing.

Anomaly Detection Signal Processing Hypothesis Testing