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Data Scientist | Python · ML · SQL | MSc Data Science | Predictive Models → Business Decisions
I don't just build models — I make sure they actually mean something. With a Master's in Data Science from REVA University and hands-on experience across machine learning, analytics, and training, I've learned that the hardest part of data science isn't the algorithm. It's translating the output into a decision someone can act on. At AISECT, I designed end-to-end data science programs and guided 100+ learners through Python, SQL, ML, and visualization — maintaining a 95% session completion rate. That experience sharpened something most data scientists don't get early on: the ability to explain complex models in plain language to non-technical stakeholders. At Zidio Development, I cleaned and analysed datasets with 20K+ records, built predictive models in Python and Scikit-learn, and contributed to a 20% improvement in decision-making efficiency. I've since worked on projects ranging from autonomous driving simulations (TensorFlow, NVIDIA architecture) to employee attrition prediction and large-scale Yelp engagement analysis. My stack: Python · SQL · Scikit-learn · TensorFlow · Power BI · Tableau · Azure (DP-900 certified) Right now, I'm looking for a full-time Data Scientist or Data Analyst role where I can solve real business problems with data — not just run notebooks in isolation. If my profile looks like a fit for your team, reach me at brijwali07n@gmail.com or connect with me here on LinkedIn.
REVA University
Msc, Data science
January 1, 2022 – January 1, 2024
REVA University
Bachelor of Science - BS, Mathematics,statistics,computer science
June 1, 2019 – July 1, 2022
Christ PU college
Pre University , PCMC's
May 1, 2019 – Present
AISECT
Data science trainer
October 1, 2024 – Present
Bengaluru, Karnataka, India · On-site
Zidio Development
Data science and analytics intern
April 1, 2024 – July 1, 2024
Cisco certified support technician cybersecurity
Cisco
June 23, 2026 – Present
Cisco Cybersecurity Specialist (CCS)
Information technology specialist
June 23, 2026 – Present
KPMG AU - Data Analytics Job Simulation
Forage
June 23, 2026 – Present
Microsoft Certified: Azure Data Fundamentals
Microsoft
June 23, 2026 – Present
Accenture North America - Data Analytics and Visualization Job Simulation
Forage
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's experience is primarily in data science and analytics, with a focus on training and internships. While relevant to an ML Engineer role, the depth of experience in complex ML system design, deployment, or research is not explicitly demonstrated. The certifications include cybersecurity and Azure Data Fundamentals, which show a breadth of interest but might not directly align with the core ML Engineer responsibilities. The lack of diverse project experience beyond data analysis and basic ML model building suggests a potential gap in cultural fit for a senior ML Engineer role requiring extensive independent project ownership and innovation.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through their experience as a Data Science Trainer, where they led programs and guided learners. Their internship experience highlights an ability to work with structured workflows and contribute to business decisions, suggesting a good operational fit for roles requiring analytical problem-solving. The descriptions indicate a focus on outcome-driven approaches and stakeholder communication.