Ashish Kumar Email & Phone Number

Noida, Uttar Pradesh, India

Noida Area, India

• Built forecasting models on Depletion(actual sales) data as model was already built for Demand data having more absolute error. Before forecasting, Trend, Variability and Sales Type features were also identified and.
• Using AWS S3 bucket… Show more
• Using AWS S3 bucket, downloaded multi-spectral 13 bands, acquired at three different spatial resolutions (10m, 20m & 60m) and resized them at same resolution of 20m for training purpose. Created a CNN network to train.
• Developed a customised Deep Learning driven model that feeds scientific data(texts) about medicine(s) (documented by medical researchers) and creates customised messages for marketing campaigns with a quality score. It.

Noida, Uttar Pradesh, India

• Performed Theme Extraction & Sentiment Analysis on scrapped data of facebook user’s comments for a leading Track racing circuit. Initially training sample of texts(comments) were manually tagged, thereby forming.
• Created segments of HCP on basis of Decision tree using CHAID to identify segments with growth opportunity. We used attributes of both HCP and patient to understand higher drug… Show more
• Created segments of HCP on basis of Decision tree using CHAID to identify segments with growth opportunity. We used attributes of both HCP and patient to understand higher drug prescription. Show less

Mumbai Area, India

1) Fraud Detection Model:- a) Objective was to identify whether a Health Insurance Claim is a Fraud or not at pre-authorization level b) Detected anomalies in claims and Implemented a logistic Classification Model c) Model is re-calibrated every month & it keeps the best model in terms of Precision/Recall. It’s been also deployed on server which is.

Kolkata Area, India

• Created a Generalised Linear Model on data consisting instantaneous speed, overhead current, voltage, power factor and consumed energy generated by Locomotive Engine of Indian Railways
• Decreased Root Mean Square Error value by diagnosing Non-normality, Heteroskedasticity, Non-linearity and Correlated(Time Series) observations in the model
• Found optimum speed interval for better energy efficiency by calculating energy consumption per unit distance

Kolkata Area, India

1) Pitched and convinced 78 cab owners to come under the Umbrella of "Namaste Taxi" and trained the existing drivers to use Mobile App2) Analyzed & sorted data of all drivers by Statistical Method and optimized the distribution of cabs within the city by Time Varying Poisson Model3)Online booking facility ​: Started with a fleet of initial 78 cabs as per.

Research Project, Linear Models: An Integrated Approach

B.Tech. And M.Tech. Dual Degree, Ocean Engg. And Naval Architecture/ Engg Entrepreneurship

Activities and Societies: Spring Fest

High School, Mathematics

Education record