Archana Vaidheeswaran

About

With a Bachelor of Technology in Electrical and Electronics Engineering from SRM University, this individual has a strong educational background. Their professional journey includes roles such as Board Member at Women in Machine Learning, Data Product Manager at Women Who Code, and Senior Leadership Fellow at Women Who Code. They have also served as a LinkedIn Learning Instructor, Data Scientist at DHL Express, and Artificial Intelligence Engineer at Continental. Their expertise extends to roles such as Instructor at Udacity, Machine Learning Consultant at Saama, and Artificial Intelligence Engineer at Saama. Their contributions include strategic decision-making, data security policy conceptualization, and the development of analytical frameworks. They have also managed teams, nurtured relationships with global companies, and published papers on machine learning. Their experience reflects a strong commitment to advancing technology and empowering women in the tech industry.

Experience

• Board Member · Women in Machine Learning03-01-2023

  Contributed to the strategic direction and decision-making for Women in Machine Learning.

• Data Product manager · Women Who Code05-01-2022

  - Conducted extensive market research and analysis to understand job-board customer needs, resulting in a 15% increase in user retention.. - Led product strategy, reducing software development costs by 60% through efficient in-house transition. - Led a cross-functional team to track company-wide KPIs with API Integrations on 30+ apps on an analytical BI dashboard using SQL functions and Postgres - Designed a Recommendation Engine, driving personalized experiences for a community of 350,000+ members.

• Product Specialist · Women Who Code12-01-2021 – 04-01-2022

  Building an Analytical Dashboard Product to track metrics from Zoom, meetup.com, and YouTube for online events in WWCode - Using Plotly Dash with AWS(Redshift+VM) to build and run the dashboard - Building a Dashboard for various internal functions

• Leadership Fellow · Women Who Code05-01-2020 – 12-01-2021

  - Managed a team of 40+ volunteers to deliver 50+ virtual technical workshops for the mentorship of women technologists during the pandemic. - Established and nurtured relationships with global companies, collaborating with them to plan technical events and identify opportunities for Women Who Code to assist their recruitment process. - Increased the Python community membership from 1k to 2k in 1.5 years

• LinkedIn Learning Instructor · Linkedin Learning Courses®01-01-2022

  - Produced Course on Learning TinyML - Launched a course on MLOps with Vertex AI - Launching courses on LLMOPs- MLOPs for LLM

• Data Scientist · DHL Express12-01-2021 – 05-01-2022

  - Modelling for forecasting various functions in DHL - Collaborated with multiple clients as the Product Owner for the DHL worldwide forecasting platform to predict their revenue and shipment of goods

• Artificial Intelligence Engineer · Continental08-01-2020 – 11-01-2021

  - Orchestrated project planning and team allocation for data platform product services, which provided data storage, visibility, and compute on for the entire AI team of 60 people - Led a team in the development of a chatbot for customers in the manufacturing sector - Worked on automatic annotation using CVAT - Applied Deepstream for multiple cameras used on NVIDIA Jetson Board - Currently working on a Data Platform which uses Data Engineering techniques and data storage services to make the lives of AI engineers easier

• Instructor · Udacity01-01-2020 – 04-01-2020

  - Built a course for Intel Edge AI for IoT Developers Nanodegree Choosing the Right Hardware for the Edge - Built a project for Smart Queueing System. - Average Nanodegree Rating is 4.75, with 16000 students worldwide

• Machine Learning Consultant · Saama08-01-2019 – 02-01-2020

  Contributed to the implementation of machine learning solutions for clients at Saama.

• Artificial Intelligence Engineer · Saama06-01-2018 – 07-01-2019

  - Piloted internal training and provided support to client teams in the adoption of chatbot - Proactively took ownership of product strategy and managed customer profiles for external clients and future product expansion - Published a paper on Classifying Convolutional Neural Networks using DNA Methylation: https://arxiv.org/abs/1807.09617 - Worked on models for running it on the edge by using Movidius; the blog can be found here: https://www.saama.com/blog/movidius-next-big-leap-machine-learning-inference-edge-computing/

• AI Chief Data Scientist · Data and AI consulting05-01-2022

  Provided Fractional CTO and AI consulting services, successfully delivering over 20 projects with an impressive client retention rate of 85%. Customers include healthcare, e-commerce, sustainability, course development, and SRE teams.

Education

• National University of SingaporeMasters Degree, Electrical and Computer Engineering
• National University of SingaporeMasters Degree, Business Administration

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