AWAashish Waghela
@aashishwaghela
Aspiring application-driven analyst focused on impactful analytics.
United KingdomWhat I'm looking for
I am an aspiring application-driven analyst with a strong focus on leveraging analytics and machine learning to create impactful solutions. I hold a Master of Science in Big Data Science from Queen Mary University of London, where I graduated with distinction. My academic background, combined with hands-on experience in data science and machine learning, has equipped me with the skills necessary to tackle complex data challenges.
In my recent role as a Data Transcriber/Modeler at Sigma AI, I analyzed and annotated complex audio datasets, significantly improving the accuracy of voice recognition for Indian languages. My previous internships have allowed me to develop machine learning models for cybersecurity and customer analytics, achieving high accuracy rates and contributing to substantial business outcomes. I am passionate about using data to drive decisions and improve processes.
Experience
Work history, roles, and key accomplishments
Data Transcriber/Modeler
Sigma AI
Jan 2024 - Dec 2024 (11 months)
Analyzed and annotated complex audio datasets for Google Home, focusing on Indian languages and dialects. Maintained a 98% accuracy rate through rigorous quality checks and contributed to acoustic model development, improving search accuracy for Indian users.
Machine Learning Intern
Mumbai Municipal Corporation
Aug 2020 - Sep 2021 (1 year 1 month)
Developed ML models for cybersecurity threat detection, achieving high accuracy and precision rates. Led a team of interns to process large datasets using Python and TensorFlow.
Data Science and Machine Learning Intern
Scryptonite LLP
Jan 2020 - Jul 2020 (6 months)
Analyzed a large customer dataset to derive business insights and built a customer churn prediction model. Implemented an automated email system to reduce churn rates.
Education
Degrees, certifications, and relevant coursework
QLQueen Mary University of London
Master of Science, Big Data Science
2021 - 2023
Grade: Distinction
Completed a Master of Science (MSc) in Big Data Science with a focus on analytics and machine learning, achieving a distinction.
UTUniversity of Mumbai, St. Francis Institute of Technology
Bachelor of Engineering, Information Technology
2017 - 2021
Grade: CGPA: 7.81/10.0
Earned a Bachelor of Engineering (B.E) in Information Technology with a CGPA of 7.81/10.0, focusing on software development and data analysis.
Tech stack
Software and tools used professionally
Availability
Location
United KingdomAuthorized to work in
Job categories
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