Sakshi Sharma

Senior Software Engineer

Jabalpur, Madhya Pradesh, India4 yrs 10 mos experience
Highly Stable

Key Highlights

  • Senior Software Engineer at Microsoft with extensive experience.
  • Gold Medalist from IIIT Jabalpur, showcasing academic excellence.
  • Developed a data analysis pipeline using advanced machine learning techniques.
Stackforce AI infers this person is a Software Engineer specializing in Data Analysis and Machine Learning within the Education Technology sector.

Contact

Skills

Core Skills

Data AnalysisData Processing

Other Skills

Naive Bayes ClassificationSeleniumJavaPython (Programming Language)Database Management System (DBMS)C++CDjangoHTML5Cascading Style Sheets (CSS)PHPMySQL

Experience

4 yrs 10 mos
Total Experience
4 yrs 10 mos
Average Tenure
4 yrs 10 mos
Current Experience

Microsoft

3 roles

Senior Software Engineer

Nov 2025Present · 6 mos

Software Engineer II

Promoted

Sep 2023Nov 2025 · 2 yrs 2 mos

Software Engineer

Jul 2021Sep 2023 · 2 yrs 2 mos

Cisco

Software Engineer Intern

Jan 2021Jun 2021 · 5 mos

Ministry of foreign affairs of japan

JENESYS 2019

Nov 2019Nov 2019 · 0 mo · Tokyo, Japan

  • I got selected for the JENESYS Programme (Japan-East Asia Network of Exchange for Students and Youths) which is funded by the Japanese government from the standpoint of providing a sound foundation for strong solidarity within Asia through large-scale youth exchange. I was a part of Science and Technology team .
  • In terms of learning, the conference and the visits prior to the conference exposed us sufficiently to the unique treats of Japanese education. The institutional visit especially gave us the opportunity to appreciate firsthand the multi-dimensions of Japanese education .

Indian institute of technology, bombay

Summer Intern

May 2019Jul 2019 · 2 mos

  • I was a part of the Data Analytics team.
  • Topic - Building a pipeline for data analysis of A-VIEW System of IIT Bombay :
  • We had to process, segregate and classify the raw data that was provided to us in the log form.
  • I built a Naive Bayes Classifier - for the segregation of useful data from which required analysis could be done.
  • Also, the data was extracted from the You Tube videos and other sites of IIT Bombay. For extracting data from the web we used Selenium web scrapper.
  • Technical Stack that I worked with :
  • Naive Bayes Classifier
  • Selenium Web Scrapper
Naive Bayes ClassificationSeleniumData AnalysisData Processing

Education

Indian Institute of Information Technology, Design and Manufacturing, Jabalpur

Bachelor of Technology - BTech — Computer Science and Engineering (CSE)

Jan 2017Jan 2021

St. Michael's High School - India

Intermediate

Jan 2015Jan 2017

St. Joseph's Convent High School , Patna - India

Matriculation

Jan 2005Jan 2015

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