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Shweta Chandole

Shweta Chandole

Lead ML Engineer

Omdena

Technologies

My Portfolio Highlights

My New Article

MIT ADSP 2021-2022 - Academic Portfolio

My New Github

shwetachandole (Shweta Chandole) · GitHub

My New Course

Data Manipulation in SQL

Data virtuoso, playing the strings of information to create harmonious insights.

My Work

Take a look at my latest work.

course

Understanding Data Science

course

Understanding Data Visualization

course

Introduction to Statistics

course

Intermediate SQL

article

MIT ADSP 2021-2022 - Academic Portfolio

github

shwetachandole (Shweta Chandole) · GitHub

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

MIT Professional Education Applied Data Science Program

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Radmol AI | Mar 2022 - Aug 2022

ML Engineering Lead - Radmol AI

Worked as a Lead consultant ML Engineer and Data Analyst for Cancer research data for Radmol AI, working closely with the CEO and Data Scientist for the Dublin based startup. My major contribution to the project being continued EDA and ML Model optimization for the various cancer data research datasets.
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Omdena | Feb 2022 - Present

Lead Machine Learning Engineer | Tech Mentor

N/A

MIT Professional Education | Jan 2021 - Jan 2022

Applied Data Science Student

- Augmented my knowledge and experience in Data by completing Applied Data Science Program with MIT's curated courses in data science, machine learning, supervised and unsupervised learning, deep learning, recommendation systems and time series. Each course included hands-on practicals and portfolio projects. - Worked in an interactive cohort with global executive participants, brainstorming application of data science and machine learning concepts to practical problems, with expert mentorship from industry-practitioners - Completed final capstone project with business presentation in Classification based prediction of loan defaulters, using techniques in balancing of imbalanced data, and tree based models in decision tree and random forest algorithms that achieved a 93% weighted average f1-score, with 95% precision and 82% recall.

The Nightscout Foundation | Jan 2014 - Jan 2016

Software Engineer - CGM in cloud

The Nightscout Project is a DIY system for remote monitoring of a Continuous Glucose Monitor. I created a remote monitoring of glucose monitoring system via this project using Microsoft Azure cloud and MongoDB, along with the use of a bio-medical wearable device called Dexcom G4 and the Pebble watch for mobile updates.

Infosys | Jan 2012 - Jan 2013

Technology Lead (Data & Analytics)

• Created complex custom formatted reports in OBIEE 10g BI Publisher using RPDs and native Oracle SQL queries. Also worked on development environment setup and troubleshooting for OBIEE 10g toolkit. • Dimensional Data modelling, Database design, Integration and BI processes design. • Performed data profiling for multiple source systems, and infrastructure feasibility checks for kick-off of new projects. • Implemented Informatica based ETL process using CDC logic to facilitate data for BI environment. • Ensured efficient turn-around time for BI reports by optimizing report queries against native SQL queries. • Ensured adherence to industry best practices via thorough design and development reviews • Enabled project team by conducting technical learning sessions on DWBI Basic concepts, ETL concepts, Oracle PL/SQL and OBIEE 10g architecture.

Cognizant Technology Solutions | Jan 2006 - Jan 2012

Associate - Projects (DWBI - Life Sciences)

DW and BI Technical lead for USA and Europe based MNC clients. • Involved in all phases of software development life cycle (SDLC) like requirement gathering and analysis, design and development, UAT support etc for end-to-end projects in ETL and BI. • Designed and implemented robust and scalable ETL processes in Informatica, using complex mappings, tasks/sessions and workflows, for various enterprise level Data Mart and DWH end-to-end projects with special attention towards performance tuning and throughput optimization. • Designed and implemented complex drill-up, drill-down / drill-through Reports, ad-hoc reports, and Dashboards involving multiple BI component layouts in Cognos 8 BI. • Ensured efficient turn-around time for BI reports by optimizing report queries against native SQL queries. • Ensured adherence to industry best practices via thorough design and development reviews • Ensured timely and successful completion of multiple modules in overlapping or parallel timeframes by providing functional and technical guidance to teams of size 4-15 • Demonstrated effective interpersonal and communication skills, having worked in close coordination with Client IT Manager, Business Users, Other functions Client teams, and various Source Teams (from Client or external vendors) • Helped in project management activities like Effort Estimation, Resource load balancing, Milestones management, coordination of Weekly status reporting and Quality assurance • Participated in Business Development activities like Proof-of-Concepts, Responses to RFPs and value-adding business proposals as client-partners. • Created, maintained and reviewed Technical documentation like Functional Requirement Specifications, Design Specifications, and Source to Target Data Mapping document. • Mentored peers and project teams by conducting Knowledge sharing and Technical Learning sessions on DW-BI basic concepts, Life Sciences domain, Oracle SQL and PL/SQL and Cognos 8 BI

My Education

Take a look at my formal education

Applied Data Science Program  in Applied Data Science, AI and Machine LearningMassachusetts Institute of Technology | 2022
Bachelor of Engineering (B.E.), Electronics & TelecommunicationsM.G.M's Jawaharlal Nehru College of Engineering | 2006

About Me

Shweta Chandole

I am a Data and Analytics professional, with most recent education and experience in Data Science and Machine Learning. I have multifaceted global experience as a Tech Lead and Mentor, and I am currently seeking US based roles in Analytics/DS/ML.

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