Mar 2020 – Present · 6 yrs · Delaware, United States · Hybrid

• Labellerr by Tensor Matics, Inc.
• We help fast growing AI teams in United States with high quality training labeled data for computer vision, NLP, speech AI and other Multi-modal AI
• You should prefer us if
• 1. you are looking to setup end to end data curation and annotation and evaluation pipeline
• 2. you have sporadic and quick turn around time data annotation requirements
• 3. Your workflow is not much fit in a generic data annotation tool
• 4. You might be already using open source such as CVAT, LabelStudio and now looking for a more robust, well documented, easy to use solution.
• Our quality and responsiveness is better than Scale AI, Labelbox if you are before Series C funded and based out of United States
• Read more at www.labellerr.com

Jan 2019 – May 2020 · 1 yr 4 mos · Chandīgarh Area, India

Jan 2019 – Aug 2019 · 7 mos · India

Oct 2018 – Mar 2020 · 1 yr 5 mos · Chandigarh Area, India

• Eduwaive Foundation is an AI and data science company with the focus on using ML, Data Science, Artificial Intelligence, Cloud computing, Blockchain, IoT and other related technologies for socially good sectors such as education, agriculture, healthcare, smart city and hence, contribute to UNDP sustainable development goals.
• Our Mission is to channelize youth towards social good by leveraging AI technology with the help of affordable, accessible and inclusive high quality AI education and make them an active partner of the social economic development of the country.
• For this we have come up with a platform with the name student360 which is launching end of this month. For now any student can go to http://www.eduwaive.org/student360 and mark their interest by registering for beta access.
• Students will be able to do the following:-
• 1) Learn AI and latest technologies via webinars, workshops, blogathons and other guided learning under eduwaive rAIse program
• 2) Earn and gain experience via real life industry projects
• 3) Build your profile and be a part of innovation teams at various organisations by applying to various opportunities in jobs, entrepreneurship and research ecosystem

Jul 2018 – Jan 2019 · 6 mos · Chandigarh Area, India

• We’re excited to bring Google's Machine Learning Study Jams to you. This program is intended for those who wish to learn ML from a practical, applied perspective that will enable them to use machine learning in their projects, and who wish to benefit from the power of TensorFlow wrapped in convenient higher-level abstractions. This program not only focuses on training ML but also on building ecosystem for ML enthusiasts. This is a great opportunity for you to gain some practical experience in ML,TensorFlow and to meet/learn/work with like minded people.
• https://developers.google.com/machine-learning/crash-course/

Sep 2017 – Apr 2018 · 7 mos

Jun 2017 – Sep 2017 · 3 mos

• Deep learning while covering CNN, RNN/LSTMs, Restricted Boltzmann Machines, Auto-encoders, Deep Belief Networks

Apr 2017 – Feb 2018 · 10 mos

• It involves supporting weekly engagement to resolve queries on concepts related to machine learning algorithms on case studies ranging from regression, classification , sentiment analysis, recommendation systems, to deep learning algorithms

Jan 2017 – Feb 2017 · 1 mo

• Data Preparation and Modelling, Model Building
• Machine Learning problems with a mix of regression and classification algorithms

Jun 2016 – Nov 2018 · 2 yrs 5 mos · Noida Area, India

• Roles and Responsibilities
• Responsible for implementation of Revenue management across multiple products using forecasting techniques such as ARIMA, Holts Winter and ML techniques such as KNN, RF, XGBoost, NN with backpropagation
• Sentiment Analysis and Text Mining using NLP with deep learning algorithms such as RNN(LSTMs) and Topic modeling techniques such as LDA, TensorFlow models textsum, syntaxnet and FB fastText. This work is in POC stage.
• Image to text for Destination profiling with the help of TensorFlow model im2txt, FB deepmask and multipathnet, Stanford Densecap
• Ideation on the core engine of Travel Intelligence Platform with computer vision
• Trainings on Python for day to day machine learning and NLP with deep learning

Dec 2015 – May 2016 · 5 mos · Gurgaon, India

Jul 2015 – Nov 2015 · 4 mos · New Delhi Area, India

• Mobile Healthcare Delivery Platform , disruptive idea in the Indian Healthcare Industry

May 2015 – Sep 2015 · 4 mos · Bengaluru Area, India

• Consultant

Dec 2012 – Jun 2015 · 2 yrs 6 mos · Gurgaon, India

• Leading a team of Analysts and Techies
• Analyzing the reporting and dashboards requirements for effective business improvement and better decision making with the help of tools like Python,R , Tableau, MS Excel, Web research accompanied with efficient data management strategy and data stores like MongoDB, PostgreSql and Hadoop Ecosystem
• Defining key performance indicators (KPI) & metrics-based business scorecards to enable metrics driven decision support solutions
• Responsibilities include:-
• 1) Data integration and building a data warehouse for automating the Business Intelligence system
• 2) Running and maintaining the reporting system
• 3) Building templates, dashboards in spreadsheet for operational and management reporting
• 4) Data extraction for Ad hoc analysis
• 5) Data cleaning, transforming, and validation from multiple data sources with the help of R,Python and spreadsheet software
• 6) Visualize data in charts, graphs, and tables

Jul 2010 – Oct 2012 · 2 yrs 3 mos · Noida Area, India

• WebServices, FileNet, Apache CXF, Java, SOAP, Banking

Jan 2010 – Jun 2010 · 5 mos · Chandigarh Area, India

• Final Semeter Industrial Training
• HSWAN (Harayana State Wide Area Network) Project for HARTRON
• TULIP IT Services Ltd., one of India’s largest Data Telecom Service Provider and a pioneer in the e-Governance Services, was awarded the HSWAN contract to implement the 65 crores project on a BOOT (Build, Own, Operate and Transfer) model.
• Tulip has enabled the Government to provide an integrated backbone for common citizen-centric and business-centric services, online monitoring of performance of various promotional schemes, integration of data bases of various Govt. departments, unified communication, etc.