Reliable data scientist, providing clarity and driving impactful transformations with insightful data analysis.
Hallo!
I’m Nahush Krishna
I’m a data analyst with hands-on expertise in visualization, machine learning, and statistical modeling. Skilled in Python, SQL, and R, I turn raw data into insights using tools like Power BI, Tableau, Excel, and Cognos to drive smart, data-backed decisions.
Year of Experience
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Hours Analyzing, Teaching & Consulting
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Collaborative firms
About Me
Let’s connect
I’m Nahush Krishna, a data analyst passionate about uncovering insights from data to solve real-world challenges. With hands-on experience in Python, SQL, R, and tools like Tableau, Power BI, and Excel, I specialize in turning complex datasets into clear, actionable strategies.
Driven by curiosity and continuous learning, I bring a blend of technical expertise and business acumen to every project — helping organizations make smarter, data-informed decisions
Vision
To empower individuals and businesses by turning raw data into meaningful insights that fuel innovation, efficiency, and growth.
Mission
To apply advanced data analytics, visualization, and machine learning techniques to solve real problems and deliver measurable impact.
Data-Driven Decisions Delivered
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Problems Solved with Analytics
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Clients Empowered Weekly
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What I Do?
Data Analysis & Strategy
I leverage Python, SQL, and advanced statistics to analyze large datasets, uncover patterns, and provide strategic insights that drive smarter business decisions.
Dashboards & Reporting
I build interactive dashboards using Power BI, Tableau, and Excel—translating complex numbers into clear visuals that support decision-making and performance tracking.
Automation & Machine Learning
I develop predictive models and automate workflows using tools like Scikit-learn, TensorFlow, and APIs—saving time and improving accuracy across processes.
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My Skills
How can I contribute to your next project?
Proficient in data analysis, machine learning, statistical modeling, Python, SQL, and data visualization.
Data Analysis
95%
Data Visualization
90%
Machine Learning
85%
Data Automation & ETL
88%
Techsparx Technology Training School
Assistant Branch Head and Senior Trainer
December 2016 – April 2022
I Love Mondays
Career Counselor
August 2018 – May 2022
St. Clair College
Peer Tutor - Data Analytics
March 2023 – July 2023
Puulse Marketing
Merchant Services Specialist
October 2024 – Present
My Experiences
Let's Work Together
Experienced in data analysis, machine learning, problem-solving, and delivering actionable business insights.
My Works
What are the most recent projects I've been working on?
Developed data-driven solutions, implemented machine learning models, and optimized business decision-making processes.
Exceptional analytical abilities and a strategic mindset. Enabled us to unlock value from data we didn’t know we had.
Aiden Smith
Product Manager
Deep understanding of machine learning and its practical applications. The insights we gained were transformative for our workflow.
Priya Kaur
Operations Lead
Consistently delivers clear, data-driven recommendations that lead to measurable improvements in performance and efficiency.
James Lee
CTO
A trusted partner in our data journey – reliable, insightful, and always ready with innovative solutions.
Nina Patel
Data Strategy Consultant
Testimonial
Client Trust in Us
Recent Projects
Developed innovative solutions using machine learning, data analysis, and visualization for impactful business outcomes.
PROJECT 1: ISSUANCES VS REMITTANCES
Location: Remote
January 2024 – May 2024
- Performed time-series analysis on voluntary carbon markets using Python, improving data processing time by 30%.
- Used forecasting models, regression, and correlation analysis to derive insights, enhancing accuracy by 18%.
- Cleaned and automated large datasets with Python, SQL, batch processing, and version control, reducing processing time by 40%.
- Created interactive dashboards in Tableau and Power BI, increasing decision-making speed by 25%.
PROJECT 2: GOGNI4HEALTH – HEALTHCARE RESPONSE ANALYSIS
Location: Remote
September 2023 – December 2023
- Developed diagnostic models using R, SQL, clustering, and logistic regression, improving response accuracy by 22%.
- Built KPI scorecards and dashboards using Tableau with filters and cohort analysis, enhancing decision efficiency by 35%.
- Created predictive models in Python using cross-validation, tuning, and imbalance handling, increasing accuracy by 30%.
- Automated ETL workflows with SQL, APIs, and scheduling tools, reducing report generation time by 50%.