Arjun Mehta
Machine Learning Engineer
Profile
Results-driven Machine Learning Engineer with over 5 years of experience developing and deploying predictive models, recommendation systems, and NLP-based solutions. Skilled in Python, TensorFlow, and cloud-based ML pipelines. Adept at transforming raw data into actionable insights that improve business efficiency and decision-making. Passionate about scalable AI applications and model optimization.
Employment History
Machine Learning Engineer — Infosys Ltd.
Bengaluru • Jun 2021 — PRESENT- Designed and deployed a customer churn prediction model using Random Forest and XGBoost, improving client retention by 18%.
- Built a real-time fraud detection pipeline leveraging AWS SageMaker and Lambda, reducing transaction fraud by 22%.
- Implemented an NLP-based sentiment analysis model using BERT for social media monitoring with 92% accuracy.
- Collaborated with data engineers to optimize ETL processes, reducing model training time by 30%.
Data Scientist — TCS Digital
Pune • Jan 2019 — May 2021- Developed a recommendation engine using collaborative filtering and content-based algorithms for a retail client, increasing sales by 15%.
- Automated data preprocessing tasks using Python and Airflow, cutting manual data preparation time by 40%.
- Conducted A/B testing for model evaluation and delivered insights for product improvements.
Education
Indian Institute of Technology
Master of Technology (M.Tech) — Hyderabad
Jan 2017 — Jan 2019Visvesvaraya Technological University
Bachelor of Engineering (B.E.) — Belagavi
Jan 2013 — Jan 2017Activities
Winner
Technical Skills
Programming
Python, R, Java
ML Frameworks
TensorFlow, PyTorch, Scikit-learn, Keras
Data Tools
Pandas, NumPy, SQL, Apache Spark
Cloud Platforms
AWS SageMaker, Google Cloud AI, Azure ML
Deep Learning
CNNs, RNNs, Transformers
NLP Tools
SpaCy, BERT, Hugging Face
MLOps
Docker, MLflow, Kubernetes
Visualization
Tableau, Power BI, Matplotlib
Projects
Image Caption Generator using Deep Learning
- Built an end-to-end deep learning model combining CNN and LSTM for image captioning using the Flickr8k dataset.
- Achieved a BLEU score of 0.62 and integrated with a Flask web app for real-time caption generation.
Stock Price Forecasting using LSTM Networks
- Developed a time series model for stock price prediction using TensorFlow.
- Implemented hyperparameter tuning with Optuna, improving prediction accuracy by 12%.
Personal Details
Bengaluru
India
+91 98765 43210
arjun.mehta92@gmail.com
Links
Skills
Languages
English
Hindi
Kannada
Hobbies
AI Ethics, Open-Source ML Projects, Data Visualization
Courses
TensorFlow Developer Certificate — Google
Machine Learning Specialization — Coursera (Stanford University)
AWS Certified Machine Learning – Specialty — Amazon Web Services
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