Deep Learning
Sanjiban Bhattacharya
Hyderabad
Summary
Experienced Tech Lead at Cognizant with a Master's in Data Science and Machine Learning. Over five years of expertise in Application Support and IT-Service Management. Seeking opportunities in AI/ML-related roles to leverage advanced skills and drive innovation. Passionate about solving complex challenges through AI/ML solutions. Looking for an opportunity to contribute effectively to impactful projects in this field.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Tech Lead
Cognizant
Kolkata
01.2021 - Current
- Providing software application support and handled critical incidents(P1,P2 and P3)
- Ensured maintaining SLA
- Performing analyses on software application functionality and suggesting improvements
- ·Ensuring effective front-end and back-end functionality of applications
- Consulting with the software development team, internal users, and clients to improve application performance.
- Establishing the root causes of application errors, and escalating serious concerns to the Senior Engineer
- Keeping a record of configuration changes and scheduling application updates
- Documenting processes and monitoring application performance metrics and application logging through Datadog and Kiabana
- Providing front-end support to clients and colleagues in other departments
- Provided report through manual testing and synthetic testing results of the application.
Programmer Analyst Trainee
Cognizant
Kolkata
03.2019 - 03.2020
- Worked as Apache Tomcat serverand IBM Webshpere Admin in Middleware team.
- Performed Application scaling, clustering, load balancing using.
- Ensured application availability 24*7.
- worked on logging and monitoring application.
Education
Master of Science - Data Science And Machine Learning
Birla Institute of Technology(BITS)
Pilani04-2024
Bachelor of Science - Computer Science And Engineering
The Neotia University
Kolkata10-2018
Skills
Top Skills:
- Python: Proficient in data manipulation, analysis, and modeling using libraries such as NumPy, Pandas, Scikit-learn, and Jupyter
- SQL: Advanced skills in BigQuery for database querying and management
- Deep Learning Models: Experienced in building deep learning models for Computer Vision, LSTMs, and various neural network architectures
- Predictive Modeling: Skilled in leading the end-to-end design, development, and deployment of predictive modeling solutions
- Machine Learning: Strong understanding of supervised, unsupervised, and deep learning algorithms, including Artificial Neural Networks
- Natural Language Processing (NLP): Proficient with NLTK and text analytics for information extraction, parsing, and topic modeling
- Data Visualization: Proficient in using data visualization tools like PowerBI and Tableau to communicate insights effectively
- Cloud Platforms: Familiarity with Azure, AWS, and GCP for cloud-based data management and analysis
- Communication: Excellent verbal and written communication skills, capable of conveying complex technical concepts to non-technical stakeholders
- Problem-solving: Strong troubleshooting skills and adept at solving challenges in a fast-paced, innovative environment
Academic Experience
- Developed over 20 projects to gain a solid understanding of Computer Vision and Large Language Models.
- Utilized TensorFlow and PyTorch for model development, ranging from Simple Neural Networks to advanced architectures.
- Implemented various model development approaches including Sequential, Functional API, and Model Subclassing.
- Proficient in data logging, model visualization, hyperparameter tuning, and profiling using TensorBoard.
- Conducted MLOps experiments tracking, incorporating tools such as Wandb, and utilized dataset versioning and model versioning with TensorFlow 2.0's Weight and Biases functionality.
- Built and deployed Human Emotion Detection using TensorFlow Lite FastAPI.
- Implemented modern CNN architectures including AlexNet, VGGNet, ResNet, MobileNet, and EfficientNet, leveraging both pretrained models and finetuning.
- Developed Vision Transformer (ViT) from scratch and performed finetuning using Hugging Face Transformers.
- Implemented Object Detection using the YOLO algorithm, Image Segmentation, People Counting using CSRNet, and Image Generation.
- Conducted Text Pre-processing for Sentiment Analysis using TF-IDF, LSTM, 1D-CNN, transfer learning, and transformers including BERT, RoBERTa, ALBERT, and T5.
- Built Intent Classification using DeBERTa in Hugging Face Transformers.
- Developed Extractive Question Answering using Long transformers in Hugging Face Transformers.
- Created an E-commerce search engine using sentence transformers.
- Built a Lyrics Generator using GPT-2.
- Developed a Grammatical Error Correction model using T5 in Hugging Face Transformers.
- Built an Elon Musk Bot using BlenderBot and Automatic Speech Recognition.
Certification
Microsoft Certified: Azure AI Fundamentals Microsoft: Issued Mar 2024 ,Credential ID -828F214228BE939
Microsoft Certified: Azure Data Scientist associate:
Issued Mar. 2024 - Expires Apr,2025
Credential ID - 8988F4D3AE98FE9
Interests
Artificial Intelligence
Timeline
Tech Lead
Cognizant
01.2021 - Current
Programmer Analyst Trainee
Cognizant
03.2019 - 03.2020
Master of Science - Data Science And Machine Learning
Birla Institute of Technology(BITS)
Bachelor of Science - Computer Science And Engineering
The Neotia University
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