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Anchit Saxena
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Anchit

Toronto, Canada --:--:--

Anchit is an experienced Data Scientist. He specializes in analyzing and offering solutions to simplify products. Some of his key accomplishments include: launching a new contractual platform, replacing manual legal review process from 4 months to 7 days; automating manual ad-review process which created a business impact of over $200k monthly; and implementing an automobile-based NER, resulting in a productivity gain of $101k annually.

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Skills
Years
1
2
3
4
5
6
7
8
9
10+
AWS
Apache Spark
Hadoop
Java
Spark
Amazon S3
GCP
Scala
Redshift
Python
Docker
Skills

2+ Years

3+ Years

5+ Years

6+ Years

Developer Personality

Independent

Collabrativer

Trailblazer

Conservative

Generalist

Specialist

Planner

Doer

Idealist

Pragmatist

Abstraction

Control

100
50
0
50
100
Feature Experience

Optimization

Automation

Data Pipelines

Impact Analytics

Algorithms

MODERATE
EXTENSIVE
EXPERT
Cultural Experience

Machine Learning

eCommerce

Consultant

Cloud

MODERATE
EXTENSIVE
EXPERT
Portfolio

Exiger

Senior Data Scientist - Product Analytics

Work Experience : 2019 - Present

Developing Data Pipeline for real time Financial Risk Assessment. Implementing Advanced Impact Analytics, Use-cases to expedite Financial decision making. Extracting core entities (Names & Addresses) from Unstructured Swift Financial Transactional Data. Implementing ML Frameworks to detect Semantic Events from Unstructured Data. Integrating BI Rules with ML Algorithms to increase the Supervised Associations. Applying Feature Engineering & ML Algorithm Tuning to increase Product Coverage. Deploying ML Models on GCP Cloud.

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Canada Inc

Senior Data Scientist - Contractor

Work Experience : 2017 - 2018

Worked on a number of projects for several companies. In these projects, he had various responsibilities. Some of them include: deployed ML Models onto cloud platform; applied LSTM Models to detect the anomalies in Field Telecommunication services & predict the root cause of the anomalies; implemented TextRank Algorithms (using Graphs) to formulate knowledge-base and identify key gaps in Field Services; social network analysis; led a team to integrate Data Science models in an existing platform.

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Saltside

Data Scientist

Work Experience : 2016 - 2017

Ad Moderation Processor/Data Scientist, developing an automated Ad-Review process. Responsibilities: Worked closely with Ad-Review team to understand the Moderation Process & identify the key features for Data Modeling. Interaction with Business Teams to formulate the Problem Statement. Data Collection & Preparation from Data Warehouse. Built & Optimized Classifiers using Machine Leaning Techniques. Presented KPIs monthly in the Board Meeting. Coordinated with offshore & onsite teams for planning, monitoring deliverables, & milestones.

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Bosch

Data Scientist

Work Experience : 2015 - 2016

Experiment-based repair. Assisted automobile companies' technicians to quickly access unique problems faced by their legitimate customers while using their automobile - helped Service Technicians to achieve Faster Resolution, reduce time-to-market for new problems, and reduce operational expenditure.

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S&P Capital IQ

Software Engineer (NLP) / Data Scientist

Work Experience : 2013 - 2014

Intelligent investment tagging. Financial solutions for leading investment bankers - recommending the top performing stocks that would drive their revenue. Worked in conjunction with Financial Analyst to understand the financial review process. Applied Feature Designing & Engineering to prepare Data Model. Discussed the Accuracy & Impact every week with the stakeholders. Supported Engineering Team in incorporating Data Science Solutions to the financial platform. Implemented Processes to analyze Model Performance & Accuracy.

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FirstRain

Software Engineer

Work Experience : 2012 - 2013

Worked as a NLP Engineer to extract the relevant Entities from Digital Media for Telecomm, Healthcare, & Sales companies. Identified valuable data sources & automated collection process. Analyzed large volume of information to discover Trends & Patterns. Build Predictive Models & Machine Learning Algorithms. Proposed Solutions & Strategies to Business Challenges. Collaborated with Engineering & Product Development teams.

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Impetus

Software Engineer

Work Experience : 2010 - 2012

Automated Data Collection from the Client Database. Assessed the effectiveness & accuracy of new data sources. Developed Custom Data Models & Machine Learning Algorithms. Coordinated with different functional teams to implement models & monitor outcomes. Developed Processes & Tools to monitor & analyze Model Performance & Data Accuracy.

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