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Karthik Revanuru

AI Researcher

Bengaluru, Karnataka, India6 yrs 8 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Expert in building scalable data science products.
  • Proficient in machine learning and deep learning applications.
  • Experience in developing predictive analytics for agriculture.
Stackforce AI infers this person is a Data Scientist with expertise in SaaS and Healthcare industries.

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Skills

Core Skills

Data ScienceMachine LearningData ExtractionNlpData Analysis

Other Skills

AlgorithmsAndroid DevelopmentArduinoCC++CSSComputer VisionData ClassificationData StructuresDeep LearningHTMLHTML5Image ProcessingJavaLinux

Experience

Cred

Data Science

Dec 2019Jan 2025 · 5 yrs 1 mo

  • CRED is a community of the most creditworthy people in India who manage and pay their credit cards while unlocking rewards from a wide collection of premium brands. Building sustainable and scalable end-end data science products for more than 10 million members of CRED.
Data ScienceMachine LearningDeep LearningData Analysis

Reckonsys tech labs

Data Scientist

Jul 2018Aug 2019 · 1 yr 1 mo · Bengaluru Area, India

  • As a Data Scientist at Reckonsys Tech Labs i was involved in multiple projects where i designed and implemented ML/DL based solutions. Some of the projects i worked on.
  • 1) Built an NSFW detector which masks the NSFW content from video and images.
  • 2) Designed and built data extractors for large domain specific contracts which are robust to noisy data from OCR.
  • 3) Designed and built a Document Categoriser which classifies hundreds of categories of documents and is extremely fast.
  • 4) Designed and built a NLP system which extracts, verifies and reports anomalies comparing multiple legal documents.
  • 5) Designed and built a module using text classification which extracts information from tables of varied types.
Machine LearningDeep LearningNLPData Extraction

Mazumdar shaw center for translational research

Research Intern

Jun 2017Dec 2017 · 6 mos · Bengaluru Area, India

  • Working on segmentation of intrinsically heterogeneous (in appearance, shape, and histology) brain tumors namely Gliomas from multi-institutional pre-operative MRI scans. Wrote python scripts to pre-process MR Images. Trained a Random forest to segment Gliomas with a dice coefficiant of 0.76. Developing a deep-learning based approach to generate better segmentations.
PythonMachine LearningImage Processing

Robert bosch engineering and business solutions limited

Data Analyst Intern

May 2016Jul 2016 · 2 mos

  • Successfully developed a predictive analytics system (Proof Of Concept) for Bosch Deep-field Connect.
  • Bosch Deep-field Connect assists the farmer in remotely monitoring the conditions on the field for strawberry and asparagus cultivation in real time and it also helps farmers in intelligent decision making with the motto of maximizing the harvest.
  • I was responsible for predicting the harvest of the crop given soil conditions, temperature, moisture and harvest in the previous seasons.
Predictive AnalyticsData Analysis

Education

International Institute of Information Technology Bangalore

Dual Degree

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