Ankita Mehta
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Developer | Tech Advisor | IIIT Delhi, Wharton EAP
I am a free-spirited, curious individual with a passion for technology and community-building. With a strong technical foundation and a knack for learning, I thrive at the intersection of data, innovation, and impact. Proudly a data nerd 😅, I’m committed to leveraging my skills to drive meaningful outcomes. At Arista Networks, I specialize in developing low-latency Kafka consumers for the ELK stack using GoLang, enhancing data processing capabilities for real-time insights. My experience extends to building robust end-to-end data and machine learning pipelines, having contributed to cutting-edge platforms at Arista and Firework. From structured streaming to scalable pipeline orchestration, my work aims to empower teams with reliable data infrastructure and unlock the potential of machine learning solutions. Beyond the technical realm, my mission is to foster communities where individuals inspire and uplift one another. I believe in using technology not just to solve problems but to create opportunities for growth, collaboration, and lasting impact. Whether through innovation in data engineering or mentoring others, I strive to be a catalyst for positive change.
Indraprastha Institute of Information Technology, Delhi
Master of Technology (M.Tech.), Computer Science
January 1, 2015 – January 1, 2017
Jaypee University of Engineering and Technology
Bachelor of Technology (B.Tech.), Computer Science
January 1, 2008 – January 1, 2012
Khaitan Public School
High Secondary School, Studied Science Stream; PCM with Computer Science
January 1, 2004 – January 1, 2008
Manastha - Best Online Counselling and Mental Health Services
Fractional CTO
March 1, 2025 – April 1, 2026
Remote · Remote
Arista Networks
Software Engineer (Data/ML)
May 1, 2022 – February 1, 2026
Vancouver, British Columbia, Canada
Firework
Data/Machine Learning Engineer
May 1, 2021 – May 1, 2022
Toronto, Ontario, Canada
Hudson's Bay Company
Data Engineer
November 1, 2020 – May 1, 2021
Toronto, Ontario, Canada
LoyaltyOne
Data Engineer II
September 1, 2020 – November 1, 2020
Toronto, Ontario, Canada
dailyhunt (Versé Innovation Pvt Ltd)
Data Engineer (Machine Learning)
October 1, 2019 – August 1, 2020
Bengaluru, Karnataka, India
FactSet
Machine Learning Engineer II
June 1, 2017 – October 1, 2019
Hyderabad Area, India
Indraprastha Institute of Information Technology, Delhi
Junior Research Fellow
January 1, 2017 – May 1, 2017
New Delhi Area, India
Udacity
Udacity Project Reviewer & Mentor
September 1, 2016 – January 1, 2019
Infosys
Test Engineer (UAT) - System Assurance
August 1, 2013 – October 1, 2014
Infosys
Systems Engineer
June 1, 2012 – July 1, 2013
Infosys
Intern
January 1, 2012 – May 1, 2012
NTPC Limited
Summer Intern
May 1, 2011 – July 1, 2011
Feature Ranking using Linear SVM, Causality Challenge 1(Guyon et al., 2008)
July 1, 2016 – Present
-Developed a system to identify the symptoms that directly causes disease(Lung Cancer) in patients. -Implement the task by using the techniques identified in the research work - Feature Ranking Using Linear SVM by Yin-Wen Chang, Chih-Jen Lin . - Achieved an accuracy of about 75% .
TinyEars : Audio Profiling using Android
February 1, 2016 – Present
- Developed an Android app that performs audio profiling of a room to calculate electricity usage with the help of a Django-based backend server. - Implemented the Android application UI and communication module. - Achieved an accuracy of about 80% while reporting the results .
Graph Based Churn Prediction Model for Telecom Networks using Apache Spark
February 1, 2016 – Present
-Developed a Spark-based system for Churn Identification using the CDRs(Call Detail Records) of customers in Telecom Network. - Implemented the Graph databases using Neo-4j. - Achieved an accuracy of about 84% while predicting the churns .
Udacity Machine Learning Nanodegree
Udacity
June 24, 2026 – Present
MITx: 15.071x The Analytics Edge
edX
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Summer School on Computer Vision
International Institute of Information Technology Hyderabad (IIITH)
June 24, 2026 – Present
Exemplary Assignment: Entrepreneurship Acceleration Program - Scaling Your Business
Emeritus
June 24, 2026 – Present
Entrepreneurship Acceleration Program
Emeritus
June 24, 2026 – Present
Programming With HTML5, Css3, Javascript
Microsoft
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Building Agentic AI Applications with a Problem-First Approach
Maven
June 24, 2026 – Present
Kaggle R Tutorial on Machine Learning
DataCamp
June 24, 2026 – Present
Become an Agent-Native Operator in 1 day
Maven
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
AWS Certified AI Practitioner
Amazon Web Services (AWS)
June 24, 2026 – Present
Udacity Data Analyst Nanodegree
Udacity
June 24, 2026 – Present
Intro to Python for Data Science
DataCamp
June 24, 2026 – Present
Introduction to R
DataCamp
June 24, 2026 – Present
BerkeleyX: CS105x Introduction to Apache Spark
edX
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various companies (Arista Networks, Firework, Hudson's Bay Company, FactSet) and roles (Software Engineer, Data/ML Engineer, Data Engineer, Machine Learning Engineer) suggests adaptability and a willingness to engage with different technical challenges and team environments. Their involvement in personal projects and mentorship roles indicates a proactive and collaborative mindset. The transition from a pure ML role to a Data Analyst target role, while leveraging ML skills, shows a potential for alignment with data-driven decision-making. However, the target role 'Data Analyst' might be a slight mismatch given the candidate's extensive background in Data/ML Engineering, which typically involves more development and less pure analysis. This could indicate a desire for a shift in focus or a broad interpretation of the 'Data Analyst' role.
Soft Skills & Operational Fit
The candidate's experience as a Udacity Project Reviewer & Mentor suggests strong communication and mentorship skills. Their role as a Fractional CTO indicates leadership and strategic thinking. The diverse project experience, including personal projects, demonstrates initiative and problem-solving abilities. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.