Rishabh Malhotra Email & Phone Number
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Rishabh Malhotra is listed as Data and Applied Scientist II at Microsoft, a with 231118 employees, based in Delhi, India. AeroLeads shows a matched LinkedIn profile for Rishabh Malhotra.
Rishabh Malhotra previously worked as Data & Applied Scientist II at Microsoft and Machine Learning Engineer at Amazon. Rishabh Malhotra holds Post Graduate Program, Artificial Intelligence from National Institute Of Technology Warangal.
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About Rishabh Malhotra
• Highly motivated Computer Science post graduate with 4+ years of work experience in Machine Learning & Data Analytics Approaches in e-commerce, aviation, healthcare and retail industry. • Highly skilled in Machine Learning & Deep Learning • Practical ML projects with CNNs, Transformers, Generative AI, Regression, Clustering, Classification, Recommender systems, and ML packages such as Scikit-learn, Tensorflow, Pytorch, HuggingFace.• Experience in working with Big Data using Spark, and data analysis using PySpark, to build large-scale applications and reporting pipelines.• Proficient in database design and development with SQL databases (MySQL, Microsoft SQL Server & Teradata)
Listed skills include Java, Android Development, C++, C, and 13 others.
Rishabh Malhotra's current company
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Rishabh Malhotra work experience
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Data & Applied Scientist Ii
Machine Learning Engineer
➜ Contributed in development of image-based models which (a) identifies size chart containing images and, (b) extracts size charts from product images for products where size charts are relevant. This model is live for 13 cross category product types in US marketplace and is estimated to have an impact of $1.1B annualized OPS and $475M annualized net concession opportunity➜ Productionized NLP models to extract attribute value from unstructured text such as title, bullet points and product… Show more ➜ Contributed in development of image-based models which (a) identifies size chart containing images and, (b) extracts size charts from product images for products where size charts are relevant. This model is live for 13 cross category product types in US marketplace and is estimated to have an impact of $1.1B annualized OPS and $475M annualized net concession opportunity➜ Productionized NLP models to extract attribute value from unstructured text such as title, bullet points and product description at scale (135 product types from 8 marketplaces). This program is estimated to make an impact of $640 M for these 135 product types Show less
Analyst
➜ Developed customized strategy to assess effectiveness of existing promotions for an American-German hair care giant. Implemented a regression model to distinguish between baseline and promotion related incremental quantities. This allowed us to asses an uplift of 39% and helped compute ROI at 22%➜ Developed Application Scorecards (A-Score) for the small and medium-sized company (SMB) segments for one of Indonesia's top 5 banks Performed cohort analysis of vintage curve & roll rate graphs… Show more ➜ Developed customized strategy to assess effectiveness of existing promotions for an American-German hair care giant. Implemented a regression model to distinguish between baseline and promotion related incremental quantities. This allowed us to asses an uplift of 39% and helped compute ROI at 22%➜ Developed Application Scorecards (A-Score) for the small and medium-sized company (SMB) segments for one of Indonesia's top 5 banks Performed cohort analysis of vintage curve & roll rate graphs to define a bad loan and implemented logistic regression model to predict loan approval using demographics, banking, bureau and financial data with a precision of 82% and recall of 63% Show less
Associate Analyst
Working in Network Operations and Customer Analytics Team➜ Engineered a new customer focused KPI, Customer IRROP Index (CII) which measures how good or bad a day was for our customers based on 11 operational factors.➜ Productionized a machine learning powered solution to benchmark Customer IRROP Index (CII) which gives insights around operational performance improvement.➜ Implemented CatBoost Regressor (python) to predict Taxi-In Time which when added to Estimated-On Times gives… Show more Working in Network Operations and Customer Analytics Team➜ Engineered a new customer focused KPI, Customer IRROP Index (CII) which measures how good or bad a day was for our customers based on 11 operational factors.➜ Productionized a machine learning powered solution to benchmark Customer IRROP Index (CII) which gives insights around operational performance improvement.➜ Implemented CatBoost Regressor (python) to predict Taxi-In Time which when added to Estimated-On Times gives Estimated Arrival Time, Replaced Flight Aware, saving of $500K annually➜ Validated linear relationship between operational KPI D:00 (departure on time) with Boarding Time and leveraged this relationship to improve D:00 by modifying Boarding Time➜ Led Fuel Efficiency effort (pyspark), developed database of optimized routes by finding potential short-cuts between origin and destination, extensively used by Network Planning for scheduling purposes➜ Engineered automated pipelines (python/ms-excel) for running ETL and Reporting jobs➜ Led the use of GitHub for source-code management and active collaboration➜ Using NLP (python: gensim), estimated brand sentiment value from customer satisfaction surveys Show less
Data Scientist
Working in Fractal Products division: Eugenie➜ Led forecasting requests from MARS Incorporated and Procter & Gamble at Proof of Concept (PoC) stage using data driven models (python)➜ Engineered real-time anomaly detection solution that proactively prevents server down times (pyspark streaming)➜ Revamped algorithms written in pandas to its corresponding pyspark version for improving scalability
Big Data Intern
➜ Engineered Hadoop Cluster of 3 virtual machines on CentOS➜ Implemented python code to refactor third-party data into Hadoop cluster along with encryption/decryption➜ Created synthetic data of GST forms and simulated synthetic data with a python script (HappyBase) using Thrift API for read/write with HBase
Software Intern
➜ Detailed study of the exploitation of vulnerabilities, incident investigation, and preventive techniques.➜ Setup of a virtual environment for simulation of attacks (Kali Linux, a website using Drupal, Windows XP/7).➜ Simulated two exploits: CVE-2014-3704 and, CVE-2010-1240 (using Kali Linux). These two exploits are used for web defacement and phishing attacks. ➜ Simulated WannaCry Ransomware attack using ETERNALROMANCE exploit (payload was executed using Kali Linux Metasploit… Show more ➜ Detailed study of the exploitation of vulnerabilities, incident investigation, and preventive techniques.➜ Setup of a virtual environment for simulation of attacks (Kali Linux, a website using Drupal, Windows XP/7).➜ Simulated two exploits: CVE-2014-3704 and, CVE-2010-1240 (using Kali Linux). These two exploits are used for web defacement and phishing attacks. ➜ Simulated WannaCry Ransomware attack using ETERNALROMANCE exploit (payload was executed using Kali Linux Metasploit framework). Successfully, compromised and encrypted the target machine (Windows XP/7). Show less
Software Intern
➜ Worked with E-filing project team, the team consisted of 5 members. I was responsible for form validation schema.➜ Form validation using MS-Excel.
Colleagues at Microsoft
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Ana Beatriz Barcellos
Colleague at MicrosoftItaperuna, Rio De Janeiro, Brazil
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HP
Hritvik Patel
Colleague at MicrosoftMumbai, Maharashtra, India
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MJ
Madhuri J
Colleague at MicrosoftCuddapah, Andhra Pradesh, India
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Vivi Lee
Colleague at MicrosoftMinhang District, Shanghai, China
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Praphat Prasan
Colleague at MicrosoftBangkok, Bangkok City, Thailand
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LJ
Lloyd Jaydell Quiambao
Colleague at MicrosoftMawab, Davao Region, Philippines
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HA
Hamza Ahmed
Colleague at MicrosoftKansas City, Missouri, United States
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BW
Bill W.
Colleague at MicrosoftLake Zurich, Illinois, United States
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Haritha Naga Sri
Colleague at MicrosoftVijayawada, Andhra Pradesh, India
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Kevin (Khanh) Ha
Colleague at MicrosoftBellevue, Washington, United States
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Rishabh Malhotra education
Post Graduate Program, Artificial Intelligence
Bachelor'S Degree + Master'S Degree, Computer Science, 7.1 Cgpa
High School Diploma, Computer Science, 93.2%
High School, Science, Social Science, Maths, English, French, 8.2 Cgpa
Frequently asked questions about Rishabh Malhotra
Quick answers generated from the profile data available on this page.
What company does Rishabh Malhotra work for?
Rishabh Malhotra works for Microsoft.
What is Rishabh Malhotra's role at Microsoft?
Rishabh Malhotra is listed as Data and Applied Scientist II at Microsoft.
Where is Rishabh Malhotra based?
Rishabh Malhotra is based in Delhi, India while working with Microsoft.
What companies has Rishabh Malhotra worked for?
Rishabh Malhotra has worked for Microsoft, Amazon, Bcg Gamma, United Airlines, and Fractal Analytics.
Who are Rishabh Malhotra's colleagues at Microsoft?
Rishabh Malhotra's colleagues at Microsoft include Ana Beatriz Barcellos, Hritvik Patel, Madhuri J, Vivi Lee, and Praphat Prasan.
How can I contact Rishabh Malhotra?
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What schools did Rishabh Malhotra attend?
Rishabh Malhotra holds Post Graduate Program, Artificial Intelligence from National Institute Of Technology Warangal.
What skills is Rishabh Malhotra known for?
Rishabh Malhotra is listed with skills including Java, Android Development, C++, C, Data Structures, Sql, Html, and Javascript.
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