Mirza Mohammed Owais Baig — Data Scientist

I’m an enthusiastic and results-oriented Engineering Graduate in Artificial Intelligence and Machine Learning, passionate about using data, AI, and intelligent systems to create real-world impact. My journey in technology has been driven by curiosity, problem-solving, and a strong desire to turn data into meaningful insights. I’ve developed a solid foundation in Machine Learning, Deep Learning, and Data Science, with practical experience in Python, SQL, Power BI, Tableau, Looker Studio, and Excel. I enjoy exploring how data patterns can be used to enhance decision-making, automate systems, and deliver scalable AI-driven solutions. Through academic projects and continuous learning, I’ve gained expertise in Neural Networks, Natural Language Processing (NLP), Computer Vision, and Generative AI, focusing on building intelligent models that improve efficiency and user experience. I’ve worked on projects involving predictive analytics, data visualization, and real-time data monitoring, applying advanced algorithms to solve complex problems. Proficient in using Power BI, Tableau, and Looker Studio for dashboard creation and business intelligence reporting, I specialize in transforming raw data into clear, actionable insights. My technical strengths are complemented by strong analytical thinking, attention to detail, and effective communication skills that help bridge the gap between data and decision-making. I’m passionate about growing in the fields of AI, Data Analytics, and Machine Learning, and I’m eager to contribute to innovative projects where technology, data, and creativity meet. I aim to work on solutions that not only leverage artificial intelligence but also make a lasting positive impact on businesses and society.

Stackforce AI infers this person is a Data Science and Cyber Security professional with a focus on AI-driven solutions.

Location: Hyderabad, Telangana, India

Experience: 0 mo

Skills

Data Science
Machine Learning
Data Visualization
Natural Language Processing
Cyber Security
Penetration Testing

Career Highlights

Proficient in AI and Machine Learning applications.
Hands-on experience in Data Science and Cyber Security.
Strong analytical and communication skills for decision-making.

Work Experience

Full Stack Academy

Data Scientist (1 yr 5 mos)

Huntmetrics

Cyber Security Internship (1 mo)

Education

Bachelor of Engineering at Lords Institute of Engineering & Technology

Diploma of Education at Nawab Shah Alam Khan College of Engineering and Technology

Mirza Mohammed Owais Baig

Data Scientist

Hyderabad, Telangana, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in AI and Machine Learning applications.
Hands-on experience in Data Science and Cyber Security.
Strong analytical and communication skills for decision-making.

Stackforce AI infers this person is a Data Science and Cyber Security professional with a focus on AI-driven solutions.

Contact

Skills

Core Skills

Data ScienceMachine LearningData VisualizationNatural Language ProcessingCyber SecurityPenetration Testing

Other Skills

SQLPython (Programming Language)Power BITableauLooker StudioExcelGenAINLPEDAAgile MethodologiesPythonNetwork SecurityBurp SuiteNmapWireshark

About

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Full stack academy

Data Scientist

Dec 2024 – Present · 1 yr 5 mos · Hyderabad · On-site

A comprehensive internship in Data Science and Data Analysis, focusing on the end-to-end data lifecycle — from data collection, cleaning, and preprocessing to advanced analytics and machine learning model deployment. Worked with Excel for data cleaning, transformation, and statistical analysis, preparing datasets for deeper insights.
Gained hands-on experience in building data visualization dashboards and analytical reports using Tableau, Power BI, and Looker Studio, translating raw data into meaningful business insights. Utilized SQL for data querying, joining, and managing large datasets efficiently, optimizing pipelines, and automating data reporting processes.
Applied Python and its key libraries — Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn — for exploratory data analysis (EDA), feature engineering, and model building. Designed and implemented predictive and classification models that improved accuracy and decision-making. Explored Natural Language Processing (NLP) for text analytics and sentiment extraction.
Worked on real-world data projects, including predictive analytics dashboards and performance visualization tools, improving stakeholder decision-making. Gained exposure to Generative AI (GenAI) models and tools, leveraging them for automating insights, summarization, and intelligent data-driven content creation.
Collaborated in Agile teams, participating in sprints, code reviews, and project discussions, contributing to efficient workflows and solution design. Developed strong analytical, communication, and presentation skills through weekly project reviews and stakeholder reports.
Strengthened proficiency in Python · SQL · Power BI · Tableau · Looker Studio · Excel · GenAI · NLP · Machine Learning · EDA · Data Visualization · and Agile Methodologies. Built a solid foundation in applying AI and data analytics to real-world business challenges and delivering measurable outcomes through data-driven innovation.

SQLPython (Programming Language)Power BITableauLooker StudioExcel+7

Huntmetrics

Cyber Security Internship

Aug 2023 – Sep 2023 · 1 mo · Hyderabad, Telangana, India · On-site

Completed a cybersecurity internship at Huntmetrics Pvt. Ltd., gaining hands-on experience in threat analysis, ethical hacking, network security, and vulnerability assessment. Worked closely with security professionals in Cyber Threat Hunting, Risk Advisory, and Critical Infrastructure Protection.
Gained practical exposure to real-world cybersecurity operations — identifying, testing, and mitigating vulnerabilities using advanced tools and frameworks such as Burp Suite, Nmap, SQLMap, Nessus Scanner, Wireshark, Metasploit, and Kali Linux.
Worked on a team project titled “Authentication Bypass and Brute-Force Attack Simulation”, focusing on understanding and preventing unauthorized system access. Used Burp Suite Intruder to simulate brute-force scenarios, analyze response behaviors, and evaluate authentication mechanisms. This project helped strengthen knowledge of application security, penetration testing, and risk mitigation practices aligned with OWASP standards.
Learned about Secure Software Development Life Cycle (SSDLC), vulnerability management, and web application architecture, including threat modeling, encryption, and data protection. Developed an understanding of network security layers, cryptography, and incident response strategies.
Built strong analytical and technical skills in Python scripting, SQL querying, and network monitoring, alongside an understanding of risk rating models and security compliance frameworks. Improved collaborative and reporting skills through documentation, team coordination, and client-ready vulnerability reports.
This internship enhanced my ability to design, analyze, and secure systems in dynamic cybersecurity environments while deepening my interest in ethical hacking, data protection, and cloud security. I am passionate about continuing to grow in the fields of cyber defense, data security, and AI-driven threat detection.

Network SecurityPenetration TestingPythonSQLBurp SuiteNmap+3