Software Engineer @PhonePe | ex - Samsung, Oracle
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Assessing your cultural and operational fit
phonepe
Data Scientist
June 18, 2026 – Present
Automatic-Signature-Verification
April 1, 2020 – April 22, 2020
Python implementation of Automatic Signature Stability Analysis And Verification Using Local Features by Muhammad Imran Malik, Marcus Liwicki, Andreas Dengel, Seiichi Uchida, Volkmar Frinken published in 2014 at14th International Conference on Frontiers in Handwriting Recognition and some experiments in Keras-Tensorflow on Automatic Signature Verification using CNNs in vanilla and Siamese architecture
View ProjectOptical-flow
May 3, 2019 – May 3, 2019
Used Lukas Kadane algorithm to find optical flow and then used optical flow to track moving objects and perform segmentation of the image. Further expanded the projects to track moving objects in a video
View ProjectLogistic_Regression-Parallel
April 1, 2019 – May 7, 2019
A OPENMP implementation of logistic regression.Different version such as stochastic gradient descent and batch gradient version are implemented.Analysis on different parameters to the serial version.
View ProjectCryptocurrency-Price-Prediction
March 8, 2019 – May 2, 2019
Cryptocurrency-Price-Prediction — GitHub repository
View ProjectStereo-image-rectify
March 3, 2019 – March 3, 2019
Stereo Image rectificationa and matching
View ProjectManga-Colorization
March 1, 2019 – April 2, 2019
Manga Colorization using Level Set Method and Gabor Wavelet Function
View ProjectNeuralNettoDetectHandWrittenDigits
February 17, 2017 – May 19, 2018
Neural Network to Detect hand written digits using python
View ProjectA2oj-Ladder-Codeforeces-Div-2-C
November 10, 2016 – November 30, 2016
Solution to problems in A2oj Ladder Codeforces Div 2 C
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, demonstrating a strong individual drive for learning and applying technical skills. The current role as a Data Scientist at PhonePe aligns well with the target role. However, the lack of team-based projects or explicit collaboration descriptions makes it difficult to fully assess cultural fit beyond individual technical contribution.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation and problem-solving.