Data Analyst Ashish Chaturvedi, Engineering & Science

I am a Data Scientist with 2+ years of experience in various domains such as Machine Learning , Natural Language Processing, Speech Recognition, Visualisation. Detailed information about my work: -Worked on Exploratory Data Analysis to extract meaningful insights from data using summary statistics and visualisations. -Built models in order to predict the sentiments of a use case. -Experienced in Natural Language Processing concepts such Word Embeddings, Named Entity Recognition, Sentimental Analysis, Dependency Parsing. -Believe in building an end-to-end application for business needs. -Additionally have a basic idea of Cloud Computing. Highlight projects: -News Title & Headline Sentimental Analysis. Predicted the sentiments of the title and headline of the news article -Restaurant Aggregator and Food Delivery Application EDA Carried out extensive exploratory data analysis on the dataset and did visualisation for better understanding. -Crop Advisory for Farmers Built a portal for farmers, predicted and suggested crops to them. I have also received scholarships for Intel Edge AI and DataCamp: DataScience by Facebook Developers Circle.

A certified Applied Data Scientist with experiences focusing on statistics analytics and machine learning. Familiar with statistics modeling, feature engineering and commonly used machine learning algorisms. My last project was working on an anomaly detection project for Microsoft Digital Stores using Microsoft cognitive service with some python public packages and Microsoft internal Bias Test library. • Experienced descriptive statistics and advanced analytics in Cosmos big data environment for MSCOM Digital Store. • Experienced causal impact modeling for camping incrementality analysis. • Experienced reinforcement learning modeling using Markov Decision Process for MSCOM online customer behavior analysis and action recommendations. • Experienced MS stores KPIs anomaly detection and root cause analysis conduct with forecasting model to reduce the false alerts. Writing python class library for internal use case. • Experienced Azure VM auto scaling schedule time series forecasting, classifications for MS Azure Subscription Automation Team. • Participated in data science professional activities, o Cortana Intelligence Competition Project 2016 – Decoding Brain Signals Achieved top 10th in public leader boarder - accuracy 81.875% in public test dataset. Achieved top 12th in private leader boarder - accuracy 80% in private test dataset. Program Language: R Platform: R Studio, MS Azure Machine Learning Web service. Algorism: LASSO most like hood features selection and logistic regression o Kaggle Competition project - Classify Handwritten Digits Using MNIST data Program Language: R “mxnet” deep learning model, accuracy: 99.429% Program Language: Python “Tensorflow” deep learning model, accuracy: 99% • Experienced simulation science tool development using modem web technologies and PowerSim SDK.

I am a very quick learner, I efficiently adapt to almost any situation, I work well in a team, I also have trained my soft skills, I am fluent in English vocabulary, I am especially fast in learning computer programmes. I have already have complete knowledge and experience on MS office, Ms Excel, MS Word, Latex, R programming, Maxima, HTML, Mathematica, Adobe photoshop, Adobe aftereffects, etc. I also have basic knowledge of python and am also learning data analytics via course offered by Google. Most important of all I have this unquenchable thirst to gain more knowledge and experience. I don't like to sit idle and waste my time hence during the pandamic, I have been working as a home tutor. It has been more than 1 year since I started it. I teach all subjects till class 10th and only Physics, chemistry and maths to classes 11th and 12th.

Aggregate reporting, Case processing, PSUR, RMP, PBRER, Narrative writing.