Akshat Gupta

CEO

Mumbai, Maharashtra, India6 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Developed advanced machine learning models for real-time predictions.
Led a successful startup bridging vehicle repair services.
Achieved significant efficiency improvements in data processing.

Stackforce AI infers this person is a Fintech and SaaS specialist with strong quantitative and leadership skills.

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Skills

Core Skills

Quantitative FinanceTrading StrategiesMachine LearningData ScienceLeadershipTeamwork

Other Skills

Agile MethodologiesAlgorithmsAndroid DevelopmentCC++CSSComputer VisionConvolutional Neural Networks (CNN)DBSCANData AnalysisDeep LearningDeep Neural Networks (DNN)FlaskFutures and Options (F&O)High-Frequency Trading

Experience

[undisclosed]

Quantitative Trader @HFT

Aug 2020 – Present · 5 yrs 7 mos · Mumbai, Maharashtra, India

OptionsOptions StrategiesIndex OptionsFutures and Options (F&O)Trading StrategiesQuantitative Finance+2

Gartner

Summer Intern

May 2019 – Jul 2019 · 2 mos · Gurgaon, India

Developed an autonomous recommendation system to recognize Gartner’s markets, based on client’s websites
Constructed a system to evaluate product-market fit using keyword extraction from Gartner’s market definitions
Achieved an accuracy of 88.89% in the evaluation of product fit in given Gartner market
Achieved 3x improvement in time and efficiency implementing the new process as compared to the existing one

Machine LearningData SciencePythonData Analysis

Schlumberger

Summer Intern

May 2018 – Jul 2018 · 2 mos · Pune Area, India

Developed Long-Short Term Memory (LSTM) network to impute missing time-series sensor array data
Worked on outlier detection techniques like DBSCAN and data imputation techniques such as kNN
Built Microservice using Flask framework to make real-time predictions

Machine LearningData SciencePythonFlaskDBSCANkNN

Caval

Chief Executive Officer

Jun 2016 – Aug 2017 · 1 yr 2 mos · Chennai Area, India

Conceived an idea to bridge the gap between vehicle repair service and vehicle owners through an online platform
Led a 12 member team to build and introduce an operational model which served 2500+ customers
Reorganized IIT Madras cycle repair model and decreased service time by 300%
Generated revenue worth Rs. 5L in 9 months of operations, maintaining a 4.6 stars rating on Play Store

LeadershipTeamworkAgile Methodologies