Saqib Alam Ansari

AI Researcher

Delhi, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Led 10+ data science projects successfully.
Expert in machine learning and data analysis.
Strong background in fintech and insurance analytics.

Stackforce AI infers this person is a Data Scientist with expertise in Fintech and Insurance analytics.

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Skills

Core Skills

Data AnalysisMachine LearningStatistical AnalysisData Visualization

Other Skills

Analytical SkillsAnalyticsApache KafkaApache SparkArtificial Intelligence (AI)Attention to DetailAzure DatabricksBig DataBitbucketCommunicationCryptocurrencyCryptocurrency TradingData ManagementData ManipulationData Pipelines

About

- Results-oriented Data Scientist with 2+ Years of Experience in Startup including: * Zuno General Insurance * Aspire Pay Later Pvt. Ltd. * iNeuron.ai - Successfully led 10+ projects in data gathering, cleaning, organizing, and modeling. - Completed B.Tech specialization in Data Science with Upgrad at MUIT, Noida; in 2024. - Proficient in Python, MySQL, , Data analysis and Machine Learning, Deep Learning, LLMs, Generative AI. - Advanced knowledge of statistical and algebraic techniques for informed decision-making. - Dedicated to staying updated with the latest machine learning advancements. - Valuable asset in demanding digital intelligence processing environments. -Skills & Tools I Utilized in my Journey Python, MySQL, Machine Learning, Deep Learning, Generative AI, LLMs, Tableau, Excel, Google Sheets, Pandas, Numpy, Scikit-learn, Matplotlib, Seaborn, Sklearn, Tensorflow, Pandas Profiling, not ends here. - How I Do It In my role as a data scientist, I have developed expertise in data preprocessing, feature creation pipeline, and model building. I have successfully worked on projects like the End-to-end Backorder Prediction model, where I predicted the likelihood of order returns based on model outcome probability. I have also applied machine learning techniques to analyze bureau data, reducing fraud risks and tailoring credit offerings to rejected/delinquent users. - Collaborative Approach If you are looking for a skilled and passionate data scientist to solve complex problems and provide valuable insights, I am here to help. Let's connect and explore how I can contribute to your data-driven initiatives. Together, we can unlock the power of data and drive meaningful results.

Experience

Zuno general insurance

Data Scientist

Mar 2024 – Jun 2024 · 3 mos · Mumbai, Maharashtra, India · Remote

Worked on different projects like Motor Renewal Analytics, Loss Ratio Analysis, Motor Fraud Detection using Python, Powerbi, ML and Excel.
Understand domain and workflow of insurance company and data understanding by hovering Multiple Data Views extracted from SAP Hana which can be utilized in analysis and model building.
Collaborated with team, suggested solutions in Data like Automation in Analysis, impurity and abnormality treatment.
Comparing Financial Years, to make decisions for business for growing in future and areas of focus, either state-wise, product-wise, service-wise, tried to find out patterns by which we company can grow.

PythonPower BIMachine LearningExcelData Analysis

Aspire upi pay later

Data Scientist

Aug 2022 – Oct 2023 · 1 yr 2 mos · Bengaluru, Karnataka, India

Applied ML techniques to analyse bureau data from 120,000 users, effectively reducing fraud risks
Engineered 1000+ features using NumPy, Pandas, regex from OTP, SMS, Payday, and Fintech data present in MySQL database to reduce risk by adding these features to existing machine learning model and measuring the impact of new features
Converted extensive PDF and JSON datasets into CSV format, code performed on AWS server for fast computation
Enhanced existing files by adding 600+ Entities and 4300+ Headers, facilitating better data organization
Identified high delinquency headers through comprehensive data analysis for targeted interventions
Developed a specialized ML model using data from 6000+ rejected/delinquent users to tailor credit offerings
Implemented multiple models to minimizing risk exposure effectively and ensuring robustness of model by selecting optimum set of model features using RFE, Stability Selection and Boruta algorithms with cross-validation
Worked on 6 different projects during internship in growth and performance perspectives
Consistently engage with the team to enhance comprehension of the interplay between business objectives and project dynamics, recognizing their consequential effects.

Machine LearningNumPyPandasMySQLData Analysis

Ineuron.ai

Data Analyst

Feb 2022 – Jul 2022 · 5 mos · Bengaluru, Karnataka, India

Analysed $186.19M in Amazon sales data for actionable insights
Prepared comprehensive project documentation for optimal project execution
Derived detailed sales insights by state, country, product, and time period
Identified top and worst performing products for strategic planning
Utilized structured approach to maximize project efficiency and resource utilization
Performed some data preprocessing in Python and rest entire analysis in Tableau

TableauPythonData AnalysisData Visualization