Deekshant khitoliya

AI Researcher

Delhi, India0 mo experience

Key Highlights

Stackforce AI infers this person is a Machine Learning and Data Science expert with a focus on Fintech and Food Tech.

Data AnalysisAlgorithmic TradingMachine LearningComputer Vision

CC++Deep LearningLSTM Deep Learning NetworksMatlabMicrosoft ExcelMonte Carlo SimulationsNLPPythonRecommendation SystemsSQLVariational Autoencoders

Aug 2020 – Present · 5 yrs 7 mos · Bangalore, India

Jun 2020 – Jul 2020 · 1 mo · California, United States

My role primarily involved developing Algorithmic Trading models for International markets using cutting edge supervised, unsupervised and semi-supervised algorithms like Monte Carlo Simulations, LSTM Deep Learning Networks, Variational Autoencoders.
Researching financial literature to seek out sources of alpha and aggregating these signals into robust models, with the objective of achieving high Sharpe ratios and significant abnormal returns.

Algorithmic TradingMonte Carlo SimulationsLSTM Deep Learning NetworksVariational AutoencodersData Analysis

May 2020 – Jul 2020 · 2 mos · Madhya Pradesh, India

Lead a team of 10+ other developers.
Developing and implementing state-of-the-art computer vision algorithms like Yolo V4, Mask- RCNN, EfficientNet, Resnet for classification of dishes into different categories and groceries detection from an image. Achieved accuracy of 89% for dishes classification model.
Worked on food recommendation engine involving the design, development and deployment of recommendation engine algorithms
Co-Developed module for Menu Digitization Created an end to end service from text-detection to text-recognition in restaurants menu. Extracting Data from PDF Invoices and Bills Details.Improved tesseract-ocr.
Utilized various NLP techniques to build an Deep Learning model for Sentiment Review Analysis.

Computer VisionDeep LearningNLPRecommendation SystemsMachine Learning