
Pradip Thachile
Teaching Assistant

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About me
CEO & Founder; all things AI, ML and Data; ex-Twitter, ex-Yahoo
Education

Coursera
2014 - 2014Focused on courses in the area of machine learning, data sciences and statistics.

Udacity
2014 - 2014Took courses to complement material from Coursera in machine learning and data science. Also took courses on the use of MongoDB as well as Hadoop/MapReduce.

EdX
2014 - 2014Completed course on data science complementing material covered by Coursera.

University of Toronto
2005 - 2008Master's of Applied Science Electrical and Electronics EngineeringActivities and Societies: University of Toronto Solar Car Team Coursework focused on topics in electronics, ADC/DACs and PLL theory, as well as in electromagnetics, control theory and radio systems. Primary research topic was on the electrical effects on of metal fill on passives in modern deep sub-micron technologies. Also did some research on high-speed limiting amplifiers for 20-40 Gbps operation including techniques for digital offset compensation.

University of Toronto
2000 - 2005Bachelor of Applied Science (B.A.Sc.) Electrical and Electronics EngineeringActivities and Societies: University of Toronto Solar Car Team
Experience

University of Toronto
Jan 2006 - Apr 2008Teaching AssistantResponsible for conducting labs and tutorial sessions for a number of second to fourth year electrical engineering courses.

Fujitsu Laboratories of America
May 2006 - Dec 2006Research InternWorked on an initial prototype/feasability study for a 40-Gbps/20-Gbps CMOS Limiting Amplifier in 65-nm standard CMOS before moving on to creating an automated inductor design and analysis workflow. Also aided in the design, layout and modelling of inductors, capacitors and transmission lines for use in a 67-GHz radio receiver. Briefly assisted in the characterisation of a 2.5-GHz CMOS PA including load-pull testing.

Fujitsu Laboratories of America
Sept 2008 - Jun 2015Member of Research StaffWorked in a variety of areas (device physics, analogue circuit design, chip top, signal integrity, electromagnetics, disaggregated computer systems, storage systems) conducting research on new applications and creating proof-of-concepts with the end goal to create new products for Fujitsu's various business units.

Yahoo! Inc.
Sept 2015 - Apr 2018I lead and support a team of talented individuals who are a combination of data engineers, data scientists and product managers responsible for driving over $15MM in incremental top-line revenue each quarter for Yahoo's Display and Video Ads business. We work cross-functionally across the entire $1B+ revenue product space, to identify potential opportunities and existing friction points, designing, incubating, testing and deploying new features and processes to maximise monetisation. On any given day, we may push code for a new data pipeline, write a Spark job to analyse TBs of data, work on a new product feature with Product and Engineering, leading and/or drive results in cross-functional teams.I work closely with partners across the enterprise in identifying, setting and executing goals to further our charter, both directly by identifying opportunities as well as enabling team members to do the same independently, as well as indirectly, by constructing a robust hiring pipeline, evangelising/disseminating our work and learnings, and working with leaders of other organisations to build shared platforms and services. I continued through the Yahoo acquisition into Verizon, helping my immediate team and those of my peers and the larger Brightroll engineering organisation, make the transition into the new Oath business. Show less
Manager, Product Hacker [Data Science, Data Eng, Product]
May 2016 - Apr 2018Product Hacker [Data Science, Data Eng, Product]
Sept 2015 - May 2016

Twitter
May 2018 - Jan 2023I'm focused on rebooting the Revenue's infrastructure and people investments in data and ML. I bootstrapped, built and managed a data organisation (0 -> 50+) consisting of data scientists, data engineers, machine learning engineers and line/middle managers. I championed and drove the technical strategy for adopting a new stack to drive top-line Revenue growth through improved ML velocity and data science-informed Product design. The approach leverages GCP-native products (e.g. BigQuery, Dataflow, TPUs, Vertex AI) augmented with custom on-premise solutions (e.g. Scalding/Hadoop, Presto, Druid) to provide a balance between legacy cost-optimised workloads and high-velocity, "fail fast" products. Investments on the people and technical side have directly yielded multi-$B growth in our top-line performance and brand ads business, new technological approaches in data and ML infrastructure, and a much more data/metrics-informed Revenue organisation. Show less
Sr. Director, Cloud Adoption Lead and Principal MLE/DS
Jul 2021 - Jan 2023Data Lead, Director, Sr. Staff Data Scientist
May 2018 - Jul 2021

Real Estate Private Investment Fund
Nov 2020 - nowManaging General PartnerStarted, built, and scaled out an 8-digit AUM multifamily residential real estate business in Ohio across several funds.

DodgeBall
Jun 2021 - nowAdvisor
Eliza
May 2023 - nowCEO & FounderBuilding a way for therapists to help their clients while avoiding burnout.

Various Startups
Jul 2024 - nowFractional CTOI help early stage startups with architecting their initial technology and product.
Licenses & Certifications
- View certificate

Deep Learning Specialisation
CourseraNov 2018
Volunteer Experience
Secretary of the Board
Issued by USFA Central California Division on Aug 2015
Associated with Pradip Thachile
Languages
- enEnglish
- frFrench
- swSwedish
- spSpanish
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