Harshit Rastogi
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Harshit Rastogi Email & Phone Number

Strategy Consultant at IBM
Location: Gurgaon, Haryana, India 3 work roles 2 schools
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Current company
IBM
Role
Strategy Consultant
Location
Gurgaon, Haryana, India
Company size

Who is Harshit Rastogi? Overview

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Quick answer

Harshit Rastogi is listed as Strategy Consultant at IBM, a with 512090 employees, based in Gurgaon, Haryana, India. AeroLeads shows a matched LinkedIn profile for Harshit Rastogi.

Harshit Rastogi previously worked as Data Science Intern at Virtusa and Software Engineering Analyst at Accenture. Harshit Rastogi holds Master Of Business Administration (Mba), Analytics/Data Science, 7.69 from Indian Institute Of Technology, Kharagpur.

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IBM

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Profile bio

About Harshit Rastogi

I am currently into Oracle Financial Domain and helping Clients move to Cloud and redesign their Financial Processes.I worked as a Business Intelligence Developer for over 3 years (Data Warehousing) in ELT/ETL tools before going for a Master's Degree in Business Administration, have a very good exposure of Informatica ETL tool along with Unix, SQL, Oracle and Netezza. I have always proved to be an excellent team player with very good inter-personal skills, decision making and well organized.With an outstanding track record at academics, sports (team games) and Co-Curriculars, I am a Management Graduate, who has exhibited a proven ability to improve processes and people by promoting best practices and procedures.

Listed skills include Artificial Neural Networks, Jsp, Core Java, Stlc, and 53 others.

Current workplace

Harshit Rastogi's current company

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IBM
Ibm
Strategy Consultant
new york, new york, united states
Website
Employees
512090
AeroLeads page
3 roles

Harshit Rastogi work experience

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Strategy Consultant

Current
Ibm

Bengaluru Area, India

Jun 2018 - Present

Data Science Intern

Chennai, Tamil Nadu, India

Worked on Real time Online Fraud Analytics and built various Machine Learning Algorithms like Logistic Regression, Random Forests etc. Got an opportunity to work on cutting edge technologies like Pyspark, Scala, Kafka, Hive, HDFS and Amazon EC2 cluster.Roles and Responsibilities:o Analyzed and Identified the crucial parameters contributing to the Fraud Mechanism.o Prepared Dashboards using Tableau specifying relationships among Fraud and various Transactional activities. o Accomplished a phenomenal feat of reducing the Fraud by 69%.o Prepared and Cleansed the Data to replicate real world Transactional Data.o Developed a Python script to calculate the aggregated features used in the Financial Domain.o Developed Machine Learning Algorithms to classify a Transaction as Fraudulent or Non-Fraudulent in both Python and Pyspark, Scala.o Created PMML file to be used for open scoring (Prediction).o For a highly imbalanced dataset, used various Sampling Techniques like SMOTE to improve the accuracy of the ML Algorithm.o Created Payment Web Pages to provide real world look and feel of a Transaction to a user.o Led the team of 8 members to automate the entire process and build an end to end solution (For the Online Part).o Achieved an accuracy of 93% with Logistic Regression and 97% with Random Forests.

May 2017 - Jul 2017

Software Engineering Analyst

Gurgaon, Haryana, India

Worked as a Data mining Engineer (Data Warehousing/Business Intelligence) Roles and Responsibilities:o Analyzed the route operational data to optimize driver’s performance, resulting in 28% increment in profito Analyzed the transactional data of the customers to provide the promotional offers on the basis of their usage history leading to 16% increment in sales.o Implemented a Decision Support System, thereby aiding the decision-making process of the Client. o Developed Standard Operation Procedures to be carried out, in order to follow all the compliances related to the Service Level Agreement. o Constructed a Data Dictionary that explained the Business processes from the niche Waste Industry.o Developed new ETL mappings, sessions, workflows and enhanced the existing ETL's as per the client's requirement.o Managed a critical, Tier 0 and SLA based application.o Conducted Impact Analysis for major change requests and as a part of Defect Management. o Developed an Automation tool which helped in saving 2 man hours on daily basis. o Reduced the Defects/Tickets count by more than 60% (167 to 62).

Feb 2013 - May 2016
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Colleagues at IBM

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2 education records

Harshit Rastogi education

Master Of Business Administration (Mba), Analytics/Data Science, 7.69

Pursued General Management program from VGSoM IIT Kharagpur, giving a 360' view of the business from the Marketing, Financial, Operations.

High School, Mathematics, A+

Colonel'S Central Academy, Gurgaon

Activities and Societies: Cricket Team, Drama Society, Quiz TeamReceived Senor Secondary education from CCA, Gurgaon which laid out.

FAQ

Frequently asked questions about Harshit Rastogi

Quick answers generated from the profile data available on this page.

What company does Harshit Rastogi work for?

Harshit Rastogi works for IBM.

What is Harshit Rastogi's role at IBM?

Harshit Rastogi is listed as Strategy Consultant at IBM.

Where is Harshit Rastogi based?

Harshit Rastogi is based in Gurgaon, Haryana, India while working with IBM.

What companies has Harshit Rastogi worked for?

Harshit Rastogi has worked for Ibm, Virtusa, and Accenture.

Who are Harshit Rastogi's colleagues at IBM?

Harshit Rastogi's colleagues at IBM include Samruddhi Kute, Indrojyoti Rano, Vidisha Srivastava, Stephen Connelly, and Kesavan T.

How can I contact Harshit Rastogi?

You can use AeroLeads to view verified contact signals for Harshit Rastogi at IBM, including work email, phone, and LinkedIn data when available.

What schools did Harshit Rastogi attend?

Harshit Rastogi holds Master Of Business Administration (Mba), Analytics/Data Science, 7.69 from Indian Institute Of Technology, Kharagpur.

What skills is Harshit Rastogi known for?

Harshit Rastogi is listed with skills including Artificial Neural Networks, Jsp, Core Java, Stlc, Software Testing Life Cycle, R, Data Warehousing, and Sdlc.

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