Tushar Bose Email & Phone Number
Who is Tushar Bose? Overview
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Tushar Bose is listed as Data Scientist (Analytics) - Search and Personalisation at Grab, a with 51396 employees, based in Singapore. AeroLeads shows a matched LinkedIn profile for Tushar Bose.
Tushar Bose previously worked as Data Scientist - Search and Personalisation at Grab and Data Analytics and Machine Learning Intern at Hp. Tushar Bose holds Master'S Degree, Business Analytics, Cgpa : 4.6/5 from Nanyang Technological University Singapore.
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About Tushar Bose
Results-driven Data Scientist | Machine Learning | Deep Learning | Data AnalyticsContact: (+65) 98436607 | (+91) 9582916607 | Email: TUSHAR009@e.ntu.edu.sgI am a dedicated Data Scientist with a proven track record in delivering innovative solutions. My passion lies in developing industry-grade machine learning products that drive impactful business decisions.🔹 Key Highlights 🔹✨ Spearheaded the development of an Underwriting-as-a-Service engine, optimizing underwriting processes with advanced machine learning techniques.✨ Led a high-impact business analytics project for loan repayment prediction and debt collection analysis, delivering actionable insights via Power BI dashboards.✨ Collaborated with cross-functional teams to develop cutting-edge ML solutions tailored to specific business needs.✨ Mentored and guided students in Data Science and Machine Learning, fostering effective learning experiences.🔹 Skills 🔹Python | Machine Learning | Data Analytics | Deep Learning | Git | SQL | PowerBI | Tableau | Apache Kafka | Leadership | Presentation Skills🔹 Where do I fit? 🔹As data proliferates and organizations seek to unlock its potential, I find myself as an ideal fit to transform data into valuable business insights. My passion for Data Science drives me to make a meaningful impact with data-driven solutions.
Tushar Bose's current company
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Tushar Bose work experience
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Data Scientist - Search And Personalisation
Current
Data Analytics And Machine Learning Intern
• Led the global rollout of an in-house Azure-based OCR model for Certificate of Analysis (COA) documents using Python and LLM APIs, improving operational efficiency and saving over $100k YoY by eliminating the need for external vendors.• Designed and deployed a predictive maintenance machine learning solution for ink manufacturing, reducing downtime and equipment failure while streamlining filtration processes saving over $10k annually by avoiding external vendor costs.• Contributed to deployment of an additive volume recommendation model for ink manufacturing, saving 4-5 hours of daily manual testing.
Associate Engineer - Data Science
• Led a high impact business analytics project for loan repayment prediction and debt collection analysis for micro financial institutions.• Developed and deployed predictive customer recommendation engine helping in furnishing a list of more likely to repay customers toprioritize loan recovery using regression, classification and cluster analysis techniques to segment customer groups based on loan repayment behaviour, resulting in a 15% increase in successful loan repayments within the first few months of implementation.• Spearheaded the development of an Underwriting-as-a-Service engine, leveraging advanced machine learning to automate loan grading andhalve processing time, while also generating a risk score to assess payment propensity.• Utilized PowerBI to streamline loan collection processes, generating actionable insights that cut time and costs by 50% through reduced unnecessary merchant visits.
Project Intern
• Played a vital role in development of anomaly detection engine capable of processing any structured data, utilizing statistical techniques and algorithms including Isolation Forest, Prophet, and Local Outlier Factor.• Led implementation of ML pipelines for Anomaly Prediction and Real-Time Anomaly Detection using Python, Docker, and Apache Kafka.• Contributed to development of a handwriting recognition engine, using OCR(s) like Tesseract and object detection models such as YOLO v5.
Teaching Assistant (Data Science)
• Guided and mentored students in Data Science and Machine Learning, enhancing learning experience.• Evaluated 100+ students across multiple data science courses. Thus, directly impacting quality of learning along with great efficiency
Data Science Intern
Colleagues at Grab
Other employees you can reach at grab.com. View company contacts for 51396 employees →
Syaiful Achmad
Colleague at GrabIndonesia
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Markus Lim
Colleague at GrabVietnam, Viet Nam
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Khairul Aiman Kamarulzaman
Colleague at GrabPetaling Jaya, Selangor, Malaysia
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Muhammad Fauzan
Colleague at GrabPerai, Penang, Malaysia
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Mujie Ahmad
Colleague at GrabJakarta, Indonesia
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Colleague at GrabIndonesia
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Maira Aprilia
Colleague at GrabWest Java, Indonesia
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Randy Idos
Colleague at GrabUrdaneta, Ilocos Region, Philippines
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Joey Ponciano
Colleague at GrabPhilippines
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Hadi Nugraha
Colleague at GrabPurwakarta, West Java, Indonesia
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Tushar Bose education
Master'S Degree, Business Analytics, Cgpa : 4.6/5
Bachelor Of Technology - Btech, Information Technology, 8.41/10 Cgpa
Education record
Frequently asked questions about Tushar Bose
Quick answers generated from the profile data available on this page.
What company does Tushar Bose work for?
Tushar Bose works for Grab.
What is Tushar Bose's role at Grab?
Tushar Bose is listed as Data Scientist (Analytics) - Search and Personalisation at Grab.
Where is Tushar Bose based?
Tushar Bose is based in Singapore while working with Grab.
What companies has Tushar Bose worked for?
Tushar Bose has worked for Grab, Hp, Altimetrik, Coding Ninjas, and Hindalco Industries Limited.
Who are Tushar Bose's colleagues at Grab?
Tushar Bose's colleagues at Grab include Syaiful Achmad, Markus Lim, Khairul Aiman Kamarulzaman, Muhammad Fauzan, and Mujie Ahmad.
How can I contact Tushar Bose?
You can use AeroLeads to view verified contact signals for Tushar Bose at Grab, including work email, phone, and LinkedIn data when available.
What schools did Tushar Bose attend?
Tushar Bose holds Master'S Degree, Business Analytics, Cgpa : 4.6/5 from Nanyang Technological University Singapore.
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