HELLO!

I am Anandaram

Welcome to my CV & Portfolio. I encourage you to review my work, skills, and professional. I firmly believe that challenges serve as valuable opportunities for development and enhancement, which is why I consistently seek new challenges in both my professional and personal endeavors. Please do not hesitate to contact me directly for further information.

ABOUT ME

I am an experienced Data Scientist with expertise in machine learning, deep learning, and data analytics, currently working as a Data Scientist-II at Intelsat. I specialize in predictive modeling, data engineering, and creating actionable insights using advanced tools like LSTM, Big Query, and Tableau. Previously, at Renault Nissan, I delivered impactful solutions such as EV battery health forecasting with 99% accuracy, large-scale data optimization, and global manufacturing data visualization.

As the creator of the SOTAM Versatile-LSTM model, I am passionate about solving complex challenges, driving innovation, and empowering businesses with data-driven strategies. I have also published articles on Analytics Vidhya, presented guest lectures, and received recognition for my contributions to the field.

PROFESSIONAL EXPERIENCE

My Qualification

RENAULT NISSAN TECHNOLOGY & BUSINESS CENTRE INDIA

Full Stack Data Scientist Jun 2021 - Aug 2024

Data Scientist:

Attained a stellar 97% accuracy in predicting driver’s subsequent actions through the application of a YDF based Random-Forest model implemented with TensorFlow Decision Forests (TF-DF).
Expertly applying machine learning techniques in Python, by employing various powerful deep learning models such as LSTM and informer model, to accurately predict electric vehicle battery health (SOH) data from France and other regions, achieving an impressive 99% accuracy.
Utilized profile data for unsupervised clustering technique, achieving a substantial 64% accuracy. Currently integrating Self-Organizing Map (SOM) algorithm via neural networks to enhance analysis sophistication.
I efficiently preprocessed a large dataset of 500M records using advanced techniques like parallel processing and vectorization. This not only drastically reduced processing time but also led to significant cost savings for the virtual machine, resulting in a remarkable reduction of 200k INR.
Developed visually appealing charts, encapsulating key insights in a dashboard designed for Renault's global presentations using Looker and Spotfire.
Consistently enhancing prediction accuracy and mitigating losses across various factors.

Data Engineer:

Proficiently crafting queries to create and update tables within the Big Query data warehouse using Airflow. These queries handle both structured and semi-structured data (Raw data) sourced from our Data Lake.
Spearheading the development of a new project, "Mapda," aimed at visualizing data for manufacturing plants worldwide.
Pioneered the growth and development of the BOM team, fostering success from the grassroots within the organization.

EDUCATION

POSTGRADUATE PROGRAM IN DATA SCIENCE AND ENGINEERING
GREAT LEARNING, CHENNAI

GREAT LAKES INSTITUTE OF MANAGEMENT

• Python: Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn

• Statistics: Measures of dispersion, Distributions, Hypothesis testing

• Supervised ML Regression: Linear regression, KNN & Decision Tree regression

• Supervised ML Classification: Logistic Regression, Naïve Bayes, KNN & Decision Tree Classifier
• Ensemble Techniques: Bagging and Boosting
• Unsupervised ML: Hierarchical - Agglomerative, K-means
• MySQL
• Tableau

More Info

CERTIFICATIONS

I am committed to acquiring new and valuable skills that contribute to the quality of my work. Whether engaged in a new project or pursuing personal endeavors, I recognize the importance of continuous improvement and learning. I invite you to review my skillset and am happy to provide any additional information you may need.