I like to innovate and solve problems .
I have always been passionate to work on challenging projects, cutting edge technologies to enhance my skill set and use technology to make lives better.
Programming Languages
Python, Java, C, Javascript, R, C#
Databases and Big Data
Data Visualisation Tools
PowerBI, Tableau
Data Analytics
Predictive Modelling, Machine Learning, Regression Modelling, GLM, Survival Modelling
Cloud Technologies
Azure (Data Factory, Synapse Analytics, HDInsight, DevOps, API Gateway), Snowflake, AWS
Business Analysis
User Research, Demand Forecasting, A/B Testing, Competitive Intelligence
Project Management
Agile methodology, budgeting, risk management, product roadmap
ClimateSense Navigator: Green Investment Strategies
ClimateSense Navigator leverages machine learning algorithms and real-time data processing, blending product management, economic modeling, and data visualization. Providing dynamic and data-driven climate solutions, the platform empowers users to make informed, strategic decisions aligned with unique objectives. Harness the power of historical and predictive climate trends, renewables market data, and real-time policy changes for sustainable and profitable investment choices.
Unveiling Diabetes Management and Product Optimization through Social Media Analytics
Leveraging advanced data science techniques, utilizing Python for Natural Language Processing to understand sentiment and customer preferences. The project aims navigate the intricacies of product strategy using Customer Segmentation for tailored approaches, optimizing product experiences and employs Demand Forecasting for proactive product enhancement strategies.
Cellular Automata based Optimal Illumination in LED Based Lighting Systems
"It is perhaps a little humbling to discover that we as humans are in effect computationally no more capable than cellular automata with very simple rules. But the Principle of Computational Equivalence also implies that the same is ultimately true of our whole universe."
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This research paper explored the computational model of cellular automata to optimise LED based lighting systems.
Used Convolutional Neural Networks along with satellite imagery to analyse the wealth conditions of a given geographical location. The idea aims at replacing the traditional review-based approach for conducting poverty analysis. The elimination of poverty is one of the most important goals for sustainable development and requires frequent and more reliable data models on the distribution of poverty.
​Fake News Detection using Machine Learning
Fake news has turned out to be a menace. Distinguishing Fake news is a critical advance towards safeguarding the uprightness and prosperity of the society. With the increasing popularity of social media, there’s an upsurge in the propagation of fake news. There is a lack of proper framework for dealing with it. The following project was an attempt to use benchmark datasets for analysis of fake news using machine learning approaches and provide a solution to the tackle it.
A Model for Earthquake Detection and Analysis in a Data Intensive Environment
Machine learning methods can be used for analyzing continuous time series data in order to detect earthquakes effectively. The proposed work exploits parallel processing in Hadoop by using the various frameworks like Pig-Hive optimization, Map Reduce and Impala, in order to mine and analyze earthquake data to propose a model for predicting future earthquakes.
Research
"Unblemished theories to concepts"
Analyzing the intricacies and extensive analogies of different algorithms which dictate the properties and processes of data is a major aspect of my research. I have worked on several research based projects and publications in order to enrich my understanding. Some of these have been published and presented in international journals like IEEE and Springer. Read more about the research and projects that I have undertaken.
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Work Experience
Research Experience
