Project Examples:• Database Systems: Wrote SQL (Oracle) queries (joins, subqueries), built relational schema and ER modeling for maximum database efficiency, and presented an Amazon RDS & Aurora cloud migration mock case• Data Mining: Performed data exploration, processing, correlation, and evaluated linear regression, logistic regression, decision tree, CNN models on example datasets (Pandas, Numpy, Sklearn, Tensorflow)• IT & Marketing: Ran LR model to analyze Panasonic TV sales and product attributes, scraped Craigslist data to predict rental price (Scrapy), and performed text analysis on 1000 restaurant and movie reviews (Nltk)Course Highlights: Database Systems and Data Warehouse (SQL, RDS), Cloud Computing (AWS), System Analysis and Design, Data Mining (python), Tableau Desktop TrainingSkill Highlights: Data Analytics & Visualization, SQL (intermediate), AWS Fundamentals, Product Management & Scrum

+Improved weekly customer satisfaction scores based on various factors such as wait time, task completion etc.+ Analyzed customers’ banking needs during conversations and discussed appropriate product offerings and offered warm intros.+Provided accurate information to customer inquiries and educated on online service offerings and mobile banking to enhance banking convenience via multiple self-service channels.

+Analyzed web traffic data using Google Analytics and Social Media platforms (Facebook, Twitter) to provide key metrics for analysis leading to optimized marketing campaigns.+Reported keywords using Excel to improve organic search results and Google rank placement leading to improved search engine optimization (SEO) and up to 37% growth in internet traffic.+Improved conversion rate by 15% by A/B Testing email marketing campaigns(Mailchimp, SurveyMonkey)and newsletters.

+Collected and summarized health drinks market data through surveys and social media's responses on customer preferences and buying habits to examine new demographics and social trends leading to the identification of key trends in the beverage industry.+Examined and analyzed both scientific and statistical data from the laboratory regarding sales and marketing to forecast market trends for dietary products leading to a potential impact on the launch of a new line of healthy beverages.+Collaborated with IT and Finance to communicate both technical and non-technical requirements and gathered budgeted requirements to aid in product launch resulting in early launch.