Himanshu Arora

Himanshu Arora

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ABOUT ME
Data Science Consultant/Big Data Architect
Data Science Consultant/Big Data Architect

A machine-learning practitioner, fascinated by the numerous application of Artificial Intelligence in day to day life. ✓ I enjoy applying my quantitative skills to new large-scale, data intensive problems. I am an avid learner keen to be the frontrunner in the field of AI. I enjoy learning new technologies at work and strive hard to acquire finesse in skills that I have honed over my career. Knowledge of wide variety of machine learning algorithms: ✓Statistical Modelling, Data Driven & Model Driven approaches :- Factor Analysis, Cluster Analysis, Decision Trees, Regression ✓ Classification: Linear classifiers (Fisher's linear discriminant, Logistic regression, Naive Bayes classifier), Support vector machines, Quadratic classifiers, Kernel estimation (k-nearest neighbour), Decision trees, Ensembles - Random forests, Gradient Boosting. ✓ Regression: Linear, Multiple, GLM, Logistic, Poisson, Nonlinear regression, Nonparametric models ✓ Dimension Reduction Methods: Principal component analysis, Forward Selection, Ridge Regression, LASSO.

French, Hindi, English
Mumbai (+05:30)
Joined February 2018
EXPERTISE
8 years experience
Expert in Data Science , Data Analysis using R and Python and various other tools.
Expert in Data Science , Data Analysis using R and Python and various other tools.
8 years experience
Expertise level in machine learning using Linear regression, Logistic regression , Decision tree, random forest, K-fold validation, Time ...
Expertise level in machine learning using Linear regression, Logistic regression , Decision tree, random forest, K-fold validation, Time series analysis and Principal component Analysis.
ClusteringK mean SQL
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ClusteringK mean SQL
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6 years experience
I have sound knowledge of tableau , data visualization , making charts , plots , histogram etc.using various tools .
I have sound knowledge of tableau , data visualization , making charts , plots , histogram etc.using various tools .
4 years experience
hands on experience in Big data using tools like Hive ,Hadoop ,Apache spark, Pig, Flume ,Mad reduce etc.
hands on experience in Big data using tools like Hive ,Hadoop ,Apache spark, Pig, Flume ,Mad reduce etc.
EMPLOYMENTS
Co Founderat Dimensionless
Dimensionless Tech. Pvt. Ltd.
2015-12-01-Present
Roles and Responsibilities Strategy, Marketing and Finance functions at Dimensionless Execution of various Data Science projects for mult...
Roles and Responsibilities Strategy, Marketing and Finance functions at Dimensionless Execution of various Data Science projects for multiple domains Conducted workshops and training on Data Analytics for Corporates and Colleges Trained 250+ participants in R, Machine Learning and Python Some of the projects executed @ Dimensionless: Multi Level Marketing (Ayurvedic Wellness) Business Problem: Revenue being generated by less than 5% of connected members. How to identify which customer is going to perform, so that we can optimize our time, efforts and money towards them Approach: Discussed with various stakeholders and figured out the factors impacting sales Applied Primary Data collection methodology to collect the required data Developed forecasting model to identify potential individuals who could generate more revenues Updating and maintaining the model on a quarterly basis Business Problem: Development of Chatbot for customer interaction at Dimensionless Approach: Designed a QnA chatbot with basic etiquettes for answering certain FAQs related to data science and the firm Implemented active learning and NLU using Amazon Lex and Amazon Lambda function Integrated the chatbot with Facebook Messenger and a website using Amazon Cognito Services Deputy Managerat JSW Steel Ltd April 2013 - December 2015(2 years 9 months) Roles and Responsibilities Worked on Improving the efficiency of various operations across the plant Handled a team of 10 members for executing various projects undertaken Identification of problem areas leading to loss in efficiency especially in Logistics and operations Initiating and executing projects for analyzing the problem statements Suggesting improvements in the practices and processes on the basis on Analysis performed Some of the projects executed: Business Problem: Predicting the mean particle size, Tumbler Index and Reducibility Index of Sinter for Plant 1 to 4 Approach: Statistical Model development for prediction of physical propertie...
Python
R
Machine learning
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Python
R
Machine learning
Computer Vision
Data science in python
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