https://dream.weekday.works/redirectToHiringCopilotExtension/

Tegna

Jump Capital

Foundation Capital

DHVC

Cota Capital

MGM Studios

Lions Gate Entertainment

Azoic Ventures

IT-Farm Corporation

SGH Capital

Think+

Touchdown Ventures

PROOF

Acquisition Group

JPK Capital

Swift Ventures

Streamlined Ventures

Camford Capital

RM Venture Partners

Ad-supported video streaming platform. It features content spanning multiple genres such as drama, comedy, action, and horror, among others. It comes with a proprietary content personalization engine for suggesting relevant content as per the viewing history of the user. The languages in which the content is offered include English, Spanish, and Korean. The platform is compatible with the web, Android, and iOS devices.

• Working on projects that involve ranking contents and zones together in a row, creating a new row based on implicit user feedback, and incorporating implicit feedback into existing algorithms for better item ranking in the row.

• Worked on developing EMR pipeline in Apache Spark (Scala), training machine learning models, and deploying them in production using Sagemaker. The entire end-to-end pipeline is deployed using Apache Airflow.

• Conducting A/B tests to monitor and evaluate KPIs for launching new ML models.

News Corp

Hearst

Fidelity Investments

Menlo Ventures

Globespan Capital Partners

HarbourVest Partners

Firsthand Technology Value Fund

Luminari Capital

Sunrise Ventures

All Blue Capital

Peregrine Ventures

Waverley Capital

Citdex

Cornerstone Capital

All Access Venture Partners

Provider of a connected video streaming device. It provides home digital media products that provide OTT content from platforms like Netflix, Amazon Prime, and Showtime through channels. Its devices receive data through wired and Wi-Fi connections from an Internet router. Its output is an audio cable, video cable, and an HDMI connector on the device models. Its mobile application is available for Android and iOS devices.

Provider of a connected video streaming device

• Working on designing and analyzing A/B tests​ to understand customer behavior for Alexa devices.

• Working on an ML model to determine customer propensity to Alexa features.

• Worked on an Alexa music research project. Developed embedding using ​NMF ​and identified customer segments using ​KNN​ search on the embedding.

NBC Capital

Australian Water system is the manufacture of polyethylene rainwater tanks, agricultural products, and chemical storage tanks. These products are used in industries and environmental sector companies.

• Worked on a PyTorch implementation of Gradient-weighted Class Activation Mapping (Grad-CAM) and guided-backpropagation to generate a visual explanation for CNN based deep learning models. 

• Worked on developing user and app node embeddings using node2vec for app usage graph with tf-idf weighted edges.  

• Mapping Korean business names to category using multi-class classification with LSTM and GRU. 

• Community detection of users and businesses based on mobile payment patterns using Louvain Modularity. 

• Understanding user preference for categories from mobile payment data using NMF, Factorization Machines, and k-means clustering.

• Sentiment analysis of  business reviews using LSTM.

CPP Investments

Herald Investment Management

Chambiz

J&M Partners

SJL Partners

T S Investment

ONUS INVEST

Manufacturer of multi category electronic products. The company mainly manufactures products like smartphones, tablets, audio sound, watches, smart switches, mobile accessories, TVs, sound devices, refrigerators, laundry, air solutions, cooking appliances, monitors, and memory storage.

Manufacturer of multi category electronic products

• Developed machine learning based DNS exfiltration detection system and implemented it into production. It helped Niara win a major customer in the healthcare space.

• Developed graph clustering of entities using Louvain Modularity for the purpose of UEBA.

• Developed an  algorithm to identify servers and its type using HITS algorithm and random graph approach.

• Added new features into the product to enrich analytics and user experience.

• Worked on building several machine learning algorithms to classify malicious files and shipping the completed model as web API and software package.

• Worked with big data using Cassandra and developing APIs.

• Worked with big data using Apache Spark.

• Developed machine learning algorithm to classify random domains based on the name only and implemented it into a web service and software package.

• Developed IP reputation scoring using mathematical modeling and implemented it into a web service.

• Developed IP to ASN mapping and implemented it into a web service.

• Evaluated prospective vendor products.

Blackstone

ClearSky

Sequoia Capital

Norwest Venture Partners

Juniper Networks

Goldman Sachs

Four Rivers Group

In-Q-Tel

DAG Ventures

Icon Ventures

Wing Venture Capital

Vilicus Ventures

Corner Ventures

Provider of a platform offering a suite of cyber security solutions. It stops cyber attacks including advanced malware which bypasses signature based prevention. Its solution detects and blocks attacks across both Web and email threat vectors as well as latent malware resident on file shares. It supports integration with existing security products. It also delivers integrated, multi vector protection utilizing stateful attack analysis to stop all stages of an attack with a signature less engine utilizing stateful attack analysis. The clients of the company include Infosys, BLACK BOAT, etc.

Provider of a platform offering a suite of cyber security solutions

•      Worked on "Digit Recognizer" Kaggle competition. 

•      Worked on "Titanic: Machine Learning from Disaster" Kaggle competition. 

•	Worked on a large noisy dataset of Facebook likes.

•	Worked on an analytics project to predict the opening weekend box office revenue generated in different countries based on movie parameters and country parameters as a part of the BI course.

•	Worked on mini cases on using data mining, modeling and clustering for direct marketing and search engine marketing as a part of BI course.

Altos Ventures Management

Meritech

Conductive Ventures

Silverton Partners

Accion

Deep Space Ventures

Techstars

Kickstart Seed Fund

Galvanize

Right Side Capital Management

Ozmen Ventures

E11 Capital

Upslope Ventures

Inclusive Fintech 50

K50 Ventures

Offers fellowship programs for students with learning differences

• Data mining and dimensionality reduction of clinical trial data.

• Implement sparsification of matrix algorithm and principal component analysis to understand relationship between different clinical tests.

Acted in several spoof videos on Samosa Tv: https://www.youtube.com/user/SamosaTv/

https://www.youtube.com/watch?v=-v9g0oj3GfQ

https://www.youtube.com/watch?v=lJYp9h5TfLw

https://www.youtube.com/watch?v=jFpcCWEO3gk

https://www.youtube.com/watch?v=6Db9A5PczI4

https://www.youtube.com/watch?v=_FKZ_xyGOcc

• Worked on theoretical study of Entanglement, Quenches and Phase
  transition of fermionic spin chains. The project involved advanced 
  mathematical calculations along with numerical simulations and analytical
  reasoning. Successfully extended the present model to explain behavior
  of entanglement as a signature of phase transition and its evolution upon
  different types of quenches. (http://pra.aps.org/abstract/PRA/v84/i5/e052317)

• Worked on X-Band (9.67 GHz) pulse Electron Paramagnetic/Spin Resonance (EPR/ESR) 
to characterize several types of nanodiamonds based on their spin properties. Data analysis done with MATLAB. Studied and designed setup for collecting fluorescence from nitrogen vacancy (NV) centers of diamonds. (“Investigating spin decoherence in nanodiamonds using a multi-frequency electron paramagnetic resonance” presented as talk in APS March meeting, 2012.)

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