ANKit Agarwal

AI Researcher

India11 yrs 2 mos experience
Highly Stable

Key Highlights

  • Expert in algorithmic trading and quantitative analysis.
  • Proven track record in real-time fraud detection.
  • Skilled in building scalable data-driven solutions.
Stackforce AI infers this person is a Fintech and Telecommunications expert with strong data science capabilities.

Contact

Skills

Core Skills

Algorithmic TradingQuantitative Analysis (finance)Fraud DetectionData Science

Other Skills

3GPP4GApache SparkArtificial Neural NetworksData ScrapingDeep LearningFemtocellLTELinuxMachine LearningMatlabMongoDBPythonQuantitative AnalysisScala

About

Industrious, venturous, industry-agnostic professional who loves learning teaching, building and optimizing

Experience

Algoquant

AI Researcher / Quant trader

Nov 2023Oct 2024 · 11 mos · Delhi, India · Hybrid

  • Using machine learning and quantitative analysis for backtesting and trading various intraday strategies. Portfolio of strategies consist of various indices of NSE and BSE which is further optimized by portfolio optimization. Highly scalable strategies which can consume good amount of NSE -BSE volume
Algorithmic TradingQuantitative Analysis (Finance)

Totido

AI Researcher

Jun 2023Oct 2024 · 1 yr 4 mos

  • Quant researcher

Mobileum

Lead Data Scientist

Jul 2022May 2023 · 10 mos · Gurugram, Haryana, India · Remote

  • SMS fraud detection in real time

Sofitra

Working Partner Data Scientist

Feb 2020Dec 2021 · 1 yr 10 mos

  • Consultant Data Scientist (February 2020- December 2021)
  • Algo trading
Algorithmic TradingQuantitative Analysis (Finance)

Infoedge india ltd.,

Senior Data Scientist

Sep 2019Feb 2020 · 5 mos

Paytm

Data Scientist

Dec 2018Sep 2019 · 9 mos

Mobileum

Senior Data Scientist

May 2016Sep 2018 · 2 yrs 4 mos · Gurgaon, India

  • Fraud Detection: Billions of CDR are analysed using cutting edge tool and technique for real-time telecom fraud detection.
  • Tools-technique applied: Python, Scala, Spark , Tableau, Feature engineering, Various Supervised, unsupervised techniques.

Inventra technologies pvt ltd

Consultant Data Scientist

Apr 2015Apr 2016 · 1 yr · Noida Area, India

  • Architect and built whole recommendation engine.
  • A. Recommendation engine:
  • Guided data scrapping team for scrapping data
  • Designed schema for mongodb for storing the data
  • Validated scrapped data
  • Extracted feature from the raw data
  • Handled cold start problem
  • Build algorithm for the recommendation engine
  • Supervised algorithm implemented for the recommendation engine are K nearest neighbor, Collaborative filtering,
  • Unsupervised algorithm implemented for recommendation engine are frequent item set, latent dirichlet allocation (LDA), Kmeans clustering
  • Tools used: Mongodb, Python libraries, numpy, scipy, scikit-learn, pandas, Pymongo
  • B. Review Analysis:
  • Mined opinion about the product using sentiment analysis techniques. Used that opinion to tag and enhance the content data
  • Tools used: Python, NLTK
  • C. Record Linkage:
  • Mapped data obtained from the different source into a single file
  • Tools technique used: Python, Jaccard Cofficient

Trinity college dublin

Research Scholar

Jun 2012Feb 2014 · 1 yr 8 mos · Dublin

  • Nowadays, there has been skyrocketing demand in data surge. Therefore, there is need of massive network densification along with various technological advancements to meet the demand. Deploying macro cells to meet these demands is not economically viable due to high capital and operational cost. Therefore, operators would be deploying dense small cell networks to meet these demands. Small cell has issues of interference and mobility management. We were targeting to sort out the mobility management issue by exploring the techniques of coordination among small cells and predicting the cells in advance for optimal resource management. For this, an optimization problem was formulated and solved using cplex tool.

Airvana india

R&D Engineer

Aug 2011Jun 2012 · 10 mos · Banglore

Indian institute of technology, delhi

Teaching Assistant

Jan 2009Jan 2011 · 2 yrs · Delhi Area, India

Education

Indian Institute of Technology, Delhi

Master of Technology (M.Tech.) — Telecommunications Engineering

Jan 2009Jan 2011

Trinity College Dublin

Stackforce found 100+ more professionals with Algorithmic Trading & Quantitative Analysis (finance)

Explore similar profiles based on matching skills and experience