I am a highly experienced data science freelancer with over 20+ years of experience in the field. Throughout my career, I have developed a deep understanding of the principles and techniques of data science and have applied this knowledge to a wide range of projects.
With a strong background in data analysis, machine learning, deep learning, and statistical modeling, I am able to quickly and accurately extract insights from large and complex datasets. My expertise in programming languages such as Python, R, and SQL enables me to implement these insights in a scalable and efficient manner.
In addition to my technical skills, I have a passion for using data science to drive business results. I have worked with a wide range of organizations, from startups to large corporations, and have helped them to use data to inform their decision-making, optimize their operations, and achieve their strategic goals.
I am a self-starter and have a strong work ethic. I am able to work independently or as part of a team and I have excellent communication skills, which allow me to effectively collaborate with stakeholders at all levels of an organization.
I have worked on various engagements across multiple domains for solving numerous problem statements including:
Telecom:
-Worked on Churn use case for the largest cellular company in the United States, analyzed their customer survey data, feedbacks, social media data to determine the customer experience and customer sentiments, demand identification and forecasting based on customer service records and customer engagement in different services, recommendation and planning of the marketing campaigns, offers and new personalized packs for customers based on customer history.
Automotive:
-Designed and deployed an automated application for a leading automotive testing company through which the client can see the machine failure prediction before time. The application also visualizes the predicted parameter values over time with graphs, data tables, and also the possible causes and remedies regarding the errors.
-Worked on Paint shop defects analysis for the World’s largest car manufacturer
BFSI:
-Worked with asset management firms, investment management organizations, and developed solutions for fraud detection, fraud prediction, and credit risk analysis, stock prediction, investment planning, investment portfolio analytics.
-Developed an accurate Cryptocurrency prediction model that can predict the hike and drop/crash of various coins, based on the historical data, social media data and market research data.
NLP/Chatbots:
-Developed Real-time Chatbot applications with .
-Developed Custom NER Model for entity recognition.
Logistics:
-Conceptualized and implemented Route optimization algorithms for Transportation and Logistics companies, for identifying the best route and used a variety of customer data feeds and a complex optimization algorithm to compute and recommend the best route for fuel savings.
Healthcare:
-Developed and optimized novel deep learning-based approaches to automate many aspects of medicine, including; disease diagnosis, and preventative medicine.
-Created a deep learning neural network that can process the MRI, PET-FDG, Amyloid and Tau image data from the ADNI database and developed a classification and prediction model to predict the Alzheimer's Disease.
Computer Vision
Data Visualization
Scala
R
Data Extraction
Web Scraping
Data Scraping
Artificial Intelligence
Natural Language Processing
Deep Neural Network
Deep Learning
Machine Learning
