Farah Hoque
Business Analyst at Novartis
Based in Montreal, Canada
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Seniority
Staff
Department
General Business & Management
Location
Montreal
Industry
Pharmaceutical Manufacturing
Company size
83K
Contact information
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f•••••••@novartis.com
Phone
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Background
About Farah Hoque
As a Business Data Analyst with a Master of Management in Analytics from McGill University, I specialize in statistics, mathematics, and programming, skilled in SQL, Python, and PowerBi. My experience in bKash's Marketing division and as a business consultant at SELISE Digital Platforms has sharpened my ability to devise data-driven strategies in the Tech sector. As founder & COO of Sikder Consulting & Software Solutions, I expanded our clientele, including the Bangladesh Army. I am keen on leveraging my analytical and entrepreneurial skills to drive strategic growth in my role. Microsoft Office: Pivot Table | XLOOKUP and VLOOKUP | X LOOKUP and V LOOKUP | If statements | SUMIF and COUNTIF | Macros | Chart creation | Data analysis | data validation | goal seek | advanced filtering | conditional formatting | Index and Match | Data modeling | PowerPivot | Power Query | PowerView | Power Bi | DAX | R / Python Integration | PowerPoint | ppt | Pivot Tables SQL: sequel | INDEX | NORMALIZATION | OPTIMIZATION | DDL | DML | DCL | Data warehousing | ETL | Bi | NoSQL | Big Data | Cloud databases | MongoDB | MySQL | SQL Server | Oracle | PostgreSQL | SQLite | AWS | Azure | Good Coud SQL | Data Governance | Data modeling | Agile | Scrum Python: Numpy | Pandas | Matplotlib | seaborn | Jupyter Notebook | Machine Learning | Natural Language Processing (NLP)| Computer vision | Test-driven development (TDD)| Data analysis | Data visualization | Data science | Automation | Web scraping R Programming: ggplot2 | dplyr | tidyr | shiny | rmarkdown | RStudio | Statistical modeling | Linear regression | Logistic regression | Time series analysis | Machine Learning algorithms | Data manipulation | Data cleaning | Data visualization | Cluster analysis | ANOVA Data Analytics: Business Intelligence | KPI development | Dashboard design | Predictive analytics | Descriptive analytics | Prescriptive analytics | Customer segmentation | A/B testing | Cohort analysis | Churn analysis | Sentiment analysis | Data mining | Cluster analysis | Regression analysis | Decision trees | Big Data technologies | Google Analytics | SQL analytics Marketing Analytics: Market segmentation | Customer Lifetime Value (CLV)| Customer journey mapping | Conversion rate optimization | Digital marketing analytics | Social media analytics | SEO/SEM strategies | Campaign performance analysis | Pricing strategy analytics | Competitive analysis | Attribution modeling || Market trend analysis | Consumer behavior analysis | Return on Investment (ROI) analysis
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