Nisha Nishad
Data Analyst @Learn Transformation
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WORK HISTORY
Data Analyst @Learn Transformation
Developed and implemented SEO strategies to improve the online visibility and ranking of the company\'s products and services.• Optimized website content, including blog posts, landing pages, and product descriptions, to align with targeted keywords and attract organic traffic.• Implemented on-page SEO techniques such as meta tags optimization, internal linking, and URL structure optimization to enhance website crawlability and indexing.• Conducted competitor analysis to identify SEO opportunities and gaps, resulting in the development of targeted strategies to outrank competitors.• Monitored website performance using Google Analytics and other SEO tools, providing regular reports and recommendations for improvement.• Collaborated with content creators, web developers, and marketing teams to ensure SEO best practices are integrated into all digital initiatives.• Stayed updated on SEO trends and algorithm changes to adapt strategies accordingly and maintain competitive advantage in the data science industry.
EDUCATION
Rajiv Gandhi Prodyogiki Vishwavidyalaya
Master of Technology - MTech
Oriental Institute of Science & Technology, Thakral Nagar, Opp Patel Nagar, Raisen Road, Bhopal-462021
Bachelor of Technology - BTech
ABOUT NISHA NISHAD
I am a data-driven professional with 3 years of experience as a Data Analyst, specializing in transforming raw data into actionable insights that support business decisions. Currently pursuing an M.Tech in Data Science, I bring a unique blend of academic depth and hands-on project experience in analytics, machine learning, and data visualization.Throughout my career, I’ve delivered measurable impact through- – From data cleaning, transformation, and exploration to statistical modeling, visualization, and reporting & – Python (Pandas, NumPy, Scikit-learn, XGBoost), SQL, Power BI, Tableau, and ETL (Pentaho) – Developed models using XGBoost, Decision Trees, Linear Regression, Logistic Regression, support Vector Machine and K-Means to solve real-world problems like: Fraud detection Loan Analysis & Visualization E-com Customer segmentation Breast cancer classificationI enjoy building models that are not only accurate but also explainable and business-aligned. I’ve also developed dynamic dashboards and reports that help stakeholders make informed, data-backed decisions. Actively seeking remote opportunities or internships in Data Science, Machine Learning, or Analytics where I can continue to grow, contribute, and collaborate on meaningful data-driven projects. Let’s connect — I’m open to collaborations and ready to take on new challenges.
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