Anjali Singhaniya Email & Phone Number

Hello, I am Anjali Singhaniya an aspiring data analyst.As an enthusiastic and motivated data analyst aspirant, I am eager to leverage my skills and knowledge in data analysis to contribute to a dynamic and innovative organization. My goal is to utilize my analytical abilities, technical proficiency, and passion for data-driven decision-making to drive actionable insights and contribute to business growth.Skills & Qualifications:Proficient in data analysis tools such as Excel, Python, Tableau, Power BI, and SQL.Strong analytical skills with experience in statistical analysis and data visualization.Completed courses in data analysis from coding ninjas and obtained certifications in relevant areas.Excellent communication, problem-solving, and teamwork abilities.Education:BS [Electrical Engineering And Computer Science] at IISER Bhopal, [2024]Projects Financial Loan Analysis [SQL, Tableau]∗ Used SQL query to find good loan KPIs and bad loan KPIs. Build a financial loan report dashboard on Tableauusing filled maps, lines, donuts, bar charts, and tree maps.◦ Power BI Sales Dashboard [Power BI, Excel]∗ Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accuratesales forecasting, and interactive dashboard creation.◦ Prediction Of Marketing Campaign [ML, Python]∗ Develop supervised, and unsupervised ML algorithms like decision trees, KNN, MNB, LR for marketing campaigndatasets. Libraries sklearn,matplotlib, seaborn,numpy, confusion matrix. The accuracy of the decision tree algorithm is highest 89 %I possess a keen eye for detail, a passion for continuous learning, and a proactive approach to challenges. I thrive in collaborative environments and am committed to delivering high-quality results.Career Interests:I am particularly interested in [Data Analyst/Business Analyst roles] and am excited about the opportunity to apply my skills and contribute to data-driven decision-making in the analyst area.Let's connect:I am open to networking opportunities, internships, and entry-level roles in data analysis. Feel free to reach out to me at [anjalisinha2103@gmail.com] to discuss potential collaborations or opportunities.