SaaS Talent

Machine Learning Engineer at William Blair

5 Years of Experience

Chicago, Illinois, USA

Expected Salary

-

Current Salary

-

Notice Period

Not Available

About

I love diving into data and getting to know the in and outs of it. During the course of my Masters's program, I have worked on the application of cybersecurity in machine learning. Currently working on the generation of unbiased tweets. Apart from data science, I solve leetcode problems during my past time to improve my logical thinking. Link to my leetcode profile: https://leetcode.com/mihirrane/ Link to my GitHub: https://github.com/mihirrane Link to my website: https://mihirrane.github.io/

Machine Learning Engineer

William Blair, IT Services & Solutions, Financial Services

Past Company 2

William Blair

Past Company 3

UT Dallas Office of Information Technology

Companies Worked:

William Blair, William Blair, UT Dallas Office of Information Technology, The University of Texas at Dallas, Digital Vidya, Perfectice (MyPerfectice)

Work History:

Job Title : Machine Learning Engineer
Company name : William Blair
Period : September 2021 - Present
Location : Chicago, Illinois, United States

Job Title : Data Scientist
Company name : William Blair
Period : January 2021 - August 2021
Location : United States

Job Title : Junior Database Administrator
Company name : UT Dallas Office of Information Technology
Period : June 2020 - January 2021
Location : Dallas-Fort Worth Metroplex

Job Title : Research Assistant
Company name : The University of Texas at Dallas
Period : November 2019 - January 2021
Location : Dallas/Fort Worth Area

Job Title : Teaching Assistant
Company name : Digital Vidya
Period : November 2018 - July 2019
Summary : - Digital Vidya is Asia’s leading professional training company focusing on imparting new-age skills to individuals & organisations.

- Since 2009, over 35,000+ professionals (including CXOs) from 15,000+ brands such as Nokia, Google, eBay, Reliance, Star TV, Cisco, MakeMyTrip, Naukri, SAP, Citibank, Toyota, Intel, ITC, CNBC, Madison and CII have participated in more than 3,000+ training batches from 55+ Countries.

- My role as a Teaching Assistant at Digital Vidya involved helping students in the course Data Science using Python and developed capstone project “Healthcare project - EEG Analysis”.

- I have also developed “Basics of Python Programming” course under the guidance of Mrs. Shweta Gupta (Vice President, Data Science Education, Digital Vidya).

Job Title : Data Science Intern
Company name : Perfectice (MyPerfectice)
Period : January 2018 - September 2018
Summary : - MyPerfectice is an EdTech company. Engineering colleges approach MyPerfectice to take recruitment test. MyPerfectice uses AI based techniques to suggest test to students.
- My role as a data analyst was to develop reports using Python, PowerBI and Tableau. I have also developed software projects called 'Employability index' and 'Leaderboard'. Employability index calculates the employability of a student and the right job fit for the student. Leaderboard project includes arrangement of students based on their performance in different tests.
- I got to learn and work on Python, PowerBI, Tableau and MongoDB database extensively
Location : New Delhi Area, India

Certifications:

Title : Mastering Common Interview Questions
Period : December 2020 - Present
Summary : linkedin.com, https://www.linkedin.com/learning/certificates/e34164fd7d29612c7e067d108a0a2f452c4b05bbe5ca58b2364fb26f5f8c44d0?trk=backfilled_certificate
Issuing Authority : LinkedIn

Title : Video Interview Tips
Period : December 2020 - Present
Summary : linkedin.com, https://www.linkedin.com/learning/certificates/e1d9d0d85c52f3cce83a32c9775f28798b0628f5a27f6e2d56b268bf6ddd700a?trk=backfilled_certificate
Issuing Authority : LinkedIn

Title : General Coding Assessment - Score 842
Period : October 2020 - Present
Summary : codesignal.com, https://app.codesignal.com/coding-report/gHwbkvSsiRoZqduwd-wQ5m6X5XJSrvbJgNce42YZy2
Issuing Authority : CodeSignal

Title : Convolutional Neural Networks
Period : February 2020 - Present
Summary : NWC4444HUJP7, coursera.org, https://www.coursera.org/account/accomplishments/verify/NWC4444HUJP7
Issuing Authority : Coursera

Title : Deep Learning Specialization
Period : February 2020 - Present
Summary : ND3CRNQJH2LG, coursera.org, https://www.coursera.org/account/accomplishments/specialization/ND3CRNQJH2LG
Issuing Authority : Coursera

Title : Natural Language Processing in TensorFlow
Period : February 2020 - Present
Summary : 2AQTDKNKVM4G, coursera.org, https://www.coursera.org/account/accomplishments/verify/2AQTDKNKVM4G
Issuing Authority : Coursera

Title : Sequence Models
Period : February 2020 - Present
Summary : HAQEZZ8EPPQK, coursera.org, https://www.coursera.org/account/accomplishments/verify/HAQEZZ8EPPQK
Issuing Authority : Coursera

Title : TensorFlow in Practice Specialization
Period : February 2020 - Present
Summary : 9G7FZX2VLAXF, coursera.org, https://www.coursera.org/account/accomplishments/specialization/9G7FZX2VLAXF
Issuing Authority : Coursera

Title : Convolutional Neural Networks in TensorFlow
Period : January 2020 - Present
Summary : LTCFGUKT29RH, coursera.org, https://www.coursera.org/account/accomplishments/verify/LTCFGUKT29RH
Issuing Authority : Coursera

Title : Getting Started with AWS Machine Learning
Period : January 2020 - Present
Summary : 7XT6VHU2DFU3, coursera.org, https://www.coursera.org/account/accomplishments/verify/7XT6VHU2DFU3
Issuing Authority : Coursera

Title : Introduction to Big Data
Period : January 2020 - Present
Summary : RU97WYLD5YTT, coursera.org, https://www.coursera.org/account/accomplishments/verify/RU97WYLD5YTT
Issuing Authority : Coursera

Title : Sequences, Time Series and Prediction
Period : January 2020 - Present
Summary : DNASCLD72JD7, coursera.org, https://www.coursera.org/account/accomplishments/verify/DNASCLD72JD7
Issuing Authority : Coursera

Title : Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Period : December 2019 - Present
Summary : QRUGFEVK4VVJ, coursera.org, https://www.coursera.org/account/accomplishments/verify/QRUGFEVK4VVJ
Issuing Authority : Coursera

Title : Introduction to Probability and Data
Period : December 2019 - Present
Summary : V3DHHHYUJH6X, coursera.org, https://www.coursera.org/account/accomplishments/verify/V3DHHHYUJH6X
Issuing Authority : Coursera

Title : Launching into Machine Learning
Period : April 2019 - Present
Summary : PRJSBXXADJ5K, coursera.org, https://www.coursera.org/account/accomplishments/verify/PRJSBXXADJ5K
Issuing Authority : Coursera

Title : How Google does Machine Learning
Period : March 2019 - Present
Summary : BT5JWF2Y74J8, coursera.org, https://www.coursera.org/account/accomplishments/verify/BT5JWF2Y74J8
Issuing Authority : Coursera

Title : Structuring Machine Learning Projects
Period : July 2018 - Present
Summary : C6BD5PPHU866, coursera.org, https://www.coursera.org/account/accomplishments/certificate/C6BD5PPHU866
Issuing Authority : Coursera

Title : Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Period : June 2018 - Present
Summary : DAH5768K6A42, coursera.org, https://www.coursera.org/account/accomplishments/certificate/DAH5768K6A42
Issuing Authority : Coursera

Title : Neural Networks and Deep Learning
Period : May 2018 - Present
Summary : NRXJHBQFTTBQ, coursera.org, https://www.coursera.org/account/accomplishments/certificate/NRXJHBQFTTBQ
Issuing Authority : Coursera

Title : Data structures and algorithms using python
Period : January 2017 - Present
Summary : NPTEL17CS1026540341AN, nptel.ac.in, http://nptel.ac.in/noc/E_Certificate/linkedin/noc17-cs10/NPTEL17CS1026540341AN.jpg
Issuing Authority : NPTEL

Languages:

English (Full Professional), French (Elementary), Hindi (Native Or Bilingual), Marathi (Native Or Bilingual)

Skills

Python

Machine Learning

Java

Computer Vision

Statistical Data Analysis

R

MongoDB

C++

Spring MVC

Maven

HTML

Cascading Style Sheets (CSS)

MySQL

JavaScript

Tableau

NoSQL

Microsoft Power BI

Python (Programming Language)

Microsoft Excel

Pandas (Software)

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Notes & Recommendation

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