Aditya Sharma Email & Phone Number

Gurugram, Hr, In

Noida, Uttar Pradesh, India

Gurugram, Haryana, India

As a Data Scientist at Adani Digital Labs, I am entrusted with the exciting responsibility of crafting cutting-edge ML models, delving into data visualization, and leading various data science initiatives. My role involves leveraging advanced techniques to unearth insights from data, driving informed decisions and innovative solutions.From conceptualizing new ML models to fine-tuning existing ones, I'm committed to pushing the boundaries of technology and innovation. Joining Adani Digital Labs has offered me an incredible platform to contribute to the forefront of data-driven innovation.

Gurugram, Haryana, India

1.Working as a Machine Learning engineer on a creative new project called "Trip Assurance " applicable on train ticket booking . 2. Here I am responsible for gathering data , analyzing data and creating new models on top of it which will provide prediction for train ticket confirmation.3. Our motive here is to provide very precise prediction to our traveler. Or else we will provide them a flight ticket if they opted TA .4.The model is one of a kind in the market recently .

Trivandrum, Kerala, India

1. Worked along with TCS finance Team on Billing and Revenue data for forecasting and hedging the Finance data with the help of ML models. 2. My main work in the project involved EDA , Data preprocessing , Data cleaning evaluating different models on top of the data and appling suitable accuracy matrices on that .3. Explored different Time Series models for the vast financial data , the main Models where : FBprophet, ARIMA, SARIMA, LSTM and RNNs. 4. Created Jenkin's pipeline for CI-CD of our Models on production and created dashboard for monitoring the same.

Trivandrum, Kerala, India

1. Integrated 'Speech to Text' library from MS Azure , creating robust transcript Capabilities. 2. Developed a sophisticated Model using Topic Moding under NLP to enhance the accuracy of the generated transcripts. 3. Utilized transformer models within our NLP pipeline to enhance topic modeling accuracy and efficiency in converting speeches into transcripts and categorizing them into separate topics for streamlined organization and analysis.