Juhaib Khan

Data Scientist

Bengaluru, Karnataka, India2 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Machine Learning and AI solutions.
Proficient in full-stack development with a focus on scalability.
Skilled trainer with hands-on experience in data science.

Stackforce AI infers this person is a Data Science and AI specialist with full-stack development capabilities.

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Skills

Core Skills

Data ScienceMachine LearningFull-stack Development

Other Skills

Amazon Web Services (AWS)Applied Machine LearningArtificial Intelligence (AI)Back-End Web DevelopmentC (Programming Language)C++CNNCSSComputer ScienceData AnalyticsData ModelingData ScientistData StructuresData VisualizationDeep Learning

About

Data Scientist and Alumnus of ExcelR with expertise in Machine Learning and Artificial Intelligence Specialized in Data Science, Artificial Intelligence, and Machine Learning, with a strong foundation in Computer Applications (BCA, MCA) and hands-on experience in delivering impactful solutions. Skilled Trainer: Trained and mentored numerous professionals in data science, machine learning, and advanced analytics. Hands-On Expertise: Proficient in Python, TensorFlow, Scikit-learn, and data analysis tools. Skilled in database management with expertise in SQL and MongoDB. Full-Stack Proficiency: Experienced in Node.js, JavaScript, and crafting robust applications with a focus on scalability and performance. Innovator and Problem-Solver: Successfully developed projects such as a content-based movie recommender system and portfolio management frameworks for analyzing stock market trends. Currently authoring a book on Data Science Simplified, aimed at making advanced concepts accessible to a wider audience. Have worked on diverse consulting engagements, including maturity assessments, gap analyses, and implementing best practices in data and project management across various organizations. Passionate about sharing knowledge, solving real-world challenges, and driving innovation in AI, data science, and technology development.

Experience

2 yrs 11 mos

Total Experience

1 yr

Average Tenure

2 yrs 1 mo

Current Experience

Ai variant

Data Science Intern

May 2024 – Present · 2 yrs 1 mo · Bangalore Urban, Karnataka, India · On-site

Ai Variant is a globally recognized training provider specializing in Data Science, Artificial Intelligence (AI), Machine Learning, and Natural Language Processing (NLP). With a curriculum designed to meet the evolving demands of the industry, Ai Variant empowers professionals with practical knowledge in cutting-edge technologies such as Python, Jupyter, SQL, Scikit-Learn, Keras, TensorFlow, and Snowflake. The training also covers advanced topics, including Applied Machine Learning, Deep Learning, Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and Generative AI Tools.
Ai Variant places a strong emphasis on foundational concepts like Statistics, Probability, Regression Models, and Time Series Forecasting, ensuring professionals are equipped to tackle real-world challenges. The program incorporates essential skills in Data Analytics, Data Visualization, and Machine Learning Algorithms, fostering expertise in solving complex problems and driving innovation.
With a mission to bridge the gap between theoretical learning and industry application, Ai Variant prepares individuals to excel in cutting-edge technologies and become leaders in the field of data science and AI.

Data SciencePython (Programming Language)JupyterArtificial Intelligence (AI)Machine LearningSQL+19

Lead height

Data Scientist Internship

Feb 2024 – Aug 2024 · 6 mos · Bangalore Urban, Karnataka, India · On-site

Designed the data models in Microsoft Azure Kusto Systems for tracking and ingesting product telemetry data to Snowflake data warehouse, thus making 15+ feature
usage data available at an hourly refresh rate with billions of data points ready for analysis/modeling for all data science use cases.
Led and executed on entire DBT strategy of automating, monitoring, and maintaining datasets for internal data mart thereby freeing the data engineering team's
resources up to 50%.
Collaborated with product software engineers, data scientists, and product managers for governance around establishing standards for product instrumentation data.
Coordinated and streamlined process between upstream dependencies thereby reducing the time taken to land data in the analytic database from 6 weeks to 2 weeks.

Data ScientistPython (Programming Language)Amazon Web Services (AWS)Artificial Intelligence (AI)CNNNLP+2