Ankit Bansal

Data Scientist

Bengaluru, Karnataka, India5 yrs 3 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Proven track record in data science and machine learning.
Expertise in predictive modeling and anomaly detection.
Strong collaboration and communication skills.

Stackforce AI infers this person is a Data Science expert with a focus on Cybersecurity and Logistics.

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Skills

Core Skills

Data ScienceMachine LearningData Analytics

Other Skills

PythonAzure DevOpsRGenerative AIApplied Data ScienceHyperparameter TuningDeep LearningNeural NetworksConvolutional Neural Networks (CNN)Python (Programming Language)MySQLJavaScriptReact.jsReact NativeProgramming

About

Passionate and results-driven data scientist with a proven track record of leveraging advanced analytics and machine learning techniques to drive actionable insights and solve complex business problems. Skilled in developing and deploying predictive models for time series forecasting and anomaly detection, as showcased in projects aimed at optimizing operational efficiency and enhancing cybersecurity measures. Proficient in utilizing a wide range of tools and technologies, including SQL, Python, and machine learning libraries. A collaborative team player with strong communication skills, adept at translating business needs into technical solutions. Eager to contribute expertise in data science to drive innovation and drive business success.

Experience

5 yrs 3 mos

Total Experience

1 yr 3 mos

Average Tenure

1 yr 11 mos

Current Experience

Tesco

2 roles

Senior Data Scientist

Oct 2025 – Present · 7 mos · Hybrid

Applied Data Scientist

Jun 2024 – Nov 2025 · 1 yr 5 mos · Hybrid

Fractal

Data Science Consultant

Jan 2023 – Jun 2024 · 1 yr 5 mos · Bengaluru, Karnataka, India · Remote

Developed a project focused on assisting security analysts in identifying missed incident cases.
Implemented GPT-4 technology to enhance case identification precision, resulting in a significant increase from 0.02 to 0.51.
Engineered an anomaly detection project targeting irregular IP address activity accessing Azure KeyVault.
Utilized DBScan Clustering to analyze daily IP address influxes, identifying usage patterns and deviations from expected behavior.
Engineered and implemented machine learning models to tackle inefficiencies in logistics operations and refine consumer targeting strategies, utilizing Azure DevOps to streamline model deployment and iteration, effectively resolving operational bottlenecks.
Collaborated closely with stakeholders to identify and address business pain points, driving the development and optimization of models through the build-train-test lifecycle, ultimately resolving key challenges and delivering actionable insights using Python and ML libraries.

Data ScienceMachine Learning

Tiger analytics

Data Science Analyst

Jan 2022 – Jan 2023 · 1 yr · Chennai, Tamil Nadu, India

Used R to perform market mix modelling for a giant FMCG client and provided them with important business conclusions like ROI, Effectiveness, Due Tos and Elasticities.
Developed mixed effect models to explain the variability of impact and elasticity of key factors among SKUs of a product.
Developed Zero intercept linear regression model to understand the impact of various Media platforms on Sales Volume.
Using R and its libraries, performed feature engineering on huge dataset with 12000+ rows and 2500+ columns to analyze the Ad-stock effect and lag effect on sale volume.

Data AnalyticsData Science

Zimetrics technologies

2 roles

Software Engineer

Feb 2021 – Jan 2022 · 11 mos · Pune, Maharashtra, India

Implemented BLOC on already developed app and separated the UI layer from the business logic layer and Performed BLOC and widget testing.
Worked on a customized automation framework to perform automation on flutter project.