Siddhant Malhotra

Director of Engineering

India7 yrs 7 mos experience

Highly StableAI Enabled

Key Highlights

8+ years in data-driven product development
3 patents in deep reinforcement learning
Expertise in scalable ML and GenAI systems

Stackforce AI infers this person is a Data Science expert with a focus on Healthcare and Manufacturing sectors.

Contact

Skills

Core Skills

Machine LearningData SciencePredictive Analytics

Other Skills

Apache SparkC++Data AnalysisHTMLJavaMachine Learning algorithmsMicrosoft ExcelNatural Language ProcessingProgrammingPythonRResearchSQLScalaStatistical Data Analysis

About

Graduated in Applied Mathematics from IIT Roorkee, I’ve spent the last 8+ years building data-driven products across supply chain, healthcare, finance, education, and engineering. I've worked across data science, product, and R&D roles—giving me a solid understanding of both the technical and business sides of building real-world solutions. Along the way, I’ve been granted 3 patents in deep reinforcement learning applied to logistics and predictive maintenance. Lately, I’ve been focused on building scalable ML and GenAI systems that solve hard problems and deliver clear impact.

Experience

Ubs

Director – Data Science, Global Wealth Management

Oct 2025 – Present · 5 mos · Mumbai, Maharashtra, India

Pandocorp plc

Senior Data Scientist

Jun 2020 – Jul 2023 · 3 yrs 1 mo

L&t technology services limited

Data Scientist

Nov 2017 – Jun 2020 · 2 yrs 7 mos · Mumbai, Maharashtra, India

Developed an image based metrology system for speeding up the quality assurance process in manufacturing industry. Single handedly worked on this and extensively used openCV and tensorflow. Region based CNN was trained to locate the region of interest and with the help of multiple view geometry of stereo vision, 1mm accuracy was obtained.

openCVtensorflowimage processingquality assuranceMachine LearningData Science

Hilabsinc

Data Scientist

May 2016 – Nov 2017 · 1 yr 6 mos · Mumbai Area, India

I have helped built an automated predictive platform for Hi-labs Inc, a US based healthcare analytics startup. I learned and implemented the following:
Various statistical tests : T-test, ANOVA, Chi-Square, ANCOVA, Levenes Test, etc
Association analysis using "Apriori Algorithm". Studied different measures of interestingness for selecting only the interesting rules.
Refactored the code for many Machine Learning algorithms such as Random Forest, Elastic-net, Support Vector machines,stochastic gradient and more. Also worked on improving the performance of various clustering techniques such as k-means, k-modes and Expectation Maximization.
Studied different techniques for automatic feature selection and implemented RFE (recursive feature elimination).

statistical testspredictive analyticsMachine Learning algorithmsfeature selectionData SciencePredictive Analytics

Fitkids education and training private ltd

Data Science Intern

Feb 2016 – May 2016 · 3 mos · Bangalore

Research analyst intern at elite wealth advisors ltd.

Research Analyst

May 2014 – Jul 2014 · 2 mos · New Delhi Area, India

During my time at Elite Wealth Advsors Ltd., I learned the various tools that are used to predict the stock prices based on technical as well as fundamental analysis.