Atendra Gautam

Lead ML Engineer

Bengaluru, Karnataka, India10 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

9+ years of experience in machine learning and data-driven solutions.
Delivered significant cost savings through innovative optimization models.
Expert in developing advanced computer vision and recommendation systems.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in Fintech, SaaS, and Consulting.

Contact

atendragautam@gmail.com LinkedIn

Skills

Core Skills

Machine LearningMl Eng & MlopsComputer VisionRecommender SystemsDeep LearningFraud DetectionNatural Language Processing (nlp)Predictive Modeling

Other Skills

AWSAirflowAlgorithmsApache SparkArtificial IntelligenceArtificial Intelligence (AI)CC++CI/CDCNNCluster AnalysisCommunicationComputer ScienceCross-functional CommunicationCross-functional Team Leadership

About

Machine Learning Engineer with 9+ years of experience delivering high business impact & data-driven solutions in different industries. Proficient in leveraging advanced algorithms to tackle complex business challenges Skills: Deep Learning: CNN, RNN, Transformers (BERT, GPT, ViT), Stable diffusion Machine Learning: Logistic regression, Random forest, XGBoost, SVM, Feature Engineering, Hyperparameter Tuning ML Eng & MLOps: Python, PyTorch, Hugging Face, SQL, Docker, CI/CD, AWS, Model Serving, Streamlit, Airflow You can contact me at: atendragautam@gmail.com

Experience

Sixt research & development india

Lead ML Engineer

Sep 2023 – Present · 2 yrs 6 mos · On-site

Tactical Fleet Optimization: Transforming fleet operations by automating processes, delivering annual savings of over €4.2M & saving 1.1K manpower hours
TECH STACK: Python, SQL, Pulp, Airflow, Streamlit, CI/CD, Docker
✔ Formulated a cost minimization model to address the supply-demand gap, yielding actionable fleet adjustments
✔ Implemented optimization model using Python’s Pulp and deployed as a Streamlit app with Airflow scheduling

PythonSQLPulpAirflowStreamlitCI/CD+3

Grab

Senior Data Scientist

Apr 2021 – Aug 2023 · 2 yrs 4 mos · Bengaluru, Karnataka, India · On-site

Automated EKYC: Engineered multiple in-house computer vision models, replacing vendor & saving $2.5M yearly
TECH STACK - Pytorch, OpenCV, Python, AWS, CI/CD, Docker
✔ Leading the entire model development & deployment process, collaborating closely with PMs
✔ Implemented a multi-task MobileNetV2 model for ID card detection & classification by leveraging SIFT for automated data labeling, achieving 99% classification & 96% detection accuracy
✔ Developed multi-label classification model for bad ID detection using MobileNetV2, achieving an 85% F1 score
✔ Implemented classifier for ID spoofing, leveraging synthetic data to overcome scarcity & achieve 98% precision

PytorchOpenCVPythonAWSCI/CDDocker+2

Oyo

Senior Data Scientist

Nov 2019 – Apr 2021 · 1 yr 5 mos · Gurgaon, Haryana · On-site

Hotel Recommendation: Upgraded recommendations for 3M users & 29K hotels, boosting revenue by ₹28M monthly
TECH STACK - Pytroch, Python, Kafka, SQL
✔ Developed dense representation for each hotel by training word embedding model on clickstream data
✔ Implemented deep learning model in PyTorch to predict booking likelihood given user's historical data
✔ Deployed a batch-driven recommendation system, delivering predictions via Kafka for seamless app integration

PytrochPythonKafkaSQLRecommender SystemsDeep Learning

Hdfc ergo health

2 roles

Senior Data Scientist

Promoted

Apr 2019 – Nov 2019 · 7 mos · Gurgaon, Haryana

Portfolio Management: Led a team of 2 data scientists to build an AI system to assist business Analyst in pattern discovery using statistical method presented in “Discovery driven exploration of data cubes” paper by Prof. Sunita Sarawagi, IIT Mumbai

Data Scientist

Dec 2017 – Apr 2019 · 1 yr 4 mos · Gurgaon, Haryana

Fraud Analytics: Improved fraud detection during Claim process by leveraging supervised & unsupervised ML, resulting in ₹43M savings
Workforce Optimization: Streamlined Employee assignments in 16K Bank branches to improve sales productivity using constrained k-means clustering

Fraud DetectionMachine LearningUnsupervised LearningTableauSQL

Accenture

Data Scientist

Jul 2015 – Nov 2017 · 2 yrs 4 mos · Bengaluru, Karnataka

Social Media Analytics: Analyzed reviews of Accenture and it's competitor on social media sites(Glassdoor, Indeed) using topic modelling and NLP techniques
Recommendation system: Conceptualized & Implemented Personalized Training Recommendation System for Accenture Digital from scratch using collaborative filtering algorithms
Hypothesis Testing: Evaluated set of hypothesis using statistical tests (t-test and chi-square test) to ascertain the impact significance of High cost employee's training in Accenture

Natural Language Processing (NLP)Predictive ModelingHypothesis Testing

Housing.com

Data Science Intern

May 2014 – Jul 2014 · 2 mos · Mumbai Area, India

Devised and implemented an algorithm to crawl data from Google APIs. It worked for more than 2000+ available categories in google maps
Analysed the distribution of leads to flats, to determine the factors that affect it; Predicted conversion rate using Multiple Linear Regression; implemented in Python (Scikit-learn)

Machine LearningSQLPython

Tata institute of fundamental research, mumbai

Research Intern

May 2013 – Jul 2013 · 2 mos · Mumbai, Maharashtra

Research scope - Set Theory, First order Logic, Automated Theorem Proving
Validated correctness of 2 theorems using Automated Theorem Proving techniques in COQ- a proof assistant software
Proved multiple theorems in propositional logic, translating into Conjunctive Normal Form(CNF) and Hilbert-style proof system