Mar 2025 – Jun 2025 · 3 mos · Remote

• X and LinkedIn Ghostwriting for Businesses
• Biggest wins in <90 days of working together:
• One client is BOOKED OUT through September'25 with our X & LI content
• Highest performing posts have as high as 15M impressions (total impressions 38.55M for this client)
• Added >11.1k followers for 2 clients in <90 days
• One client got invited to a HUGE speaking gig
• One added 120 NL subs with ONE X thread
• There's so so many more :)

Jul 2023 – Present · 2 yrs 10 mos

• I help you get clients for your high-ticket offer so you can STOP worrying about selling and START focusing on what you love doing most - working with clients & making money ;)
• How do I do it?
• ↳ By writing high-converting X, LinkedIn & email-content for you
• How exactly does my done-for-you service help you:
• STEP 1: We attract audience that is looking for your help
• ↳ through X & LinkedIn social media content
• STEP 2: We capture emails of qualified prospects from that audience
• ↳ through an irresistible email lead magnet
• STEP-3: We become their ONLY trusted source of information
• ↳ through consistent authority-building social media content & actionable emails
• This means:
• > more booked calls
• > higher closing rates
• > more revenue for your biz
• Ready to get started?
• Hit me up 🤝

Jun 2023 – Sep 2023 · 3 mos · Bengaluru, Karnataka, India · Remote

• Transitioned from tech to writing + marketing.

Sep 2021 – Jul 2023 · 1 yr 10 mos · Pune Division, Maharashtra, India

• This 9-9 hustler version of Sakshi had absolutely NO clue that she'd be completely changing the trajectory of her entire career 😁😉

Dec 2019 – Nov 2020 · 11 mos

• Whew–I worked HARD to figure out what I wanted to be (& this is proof of that 😂😁) :
• As a Machine learning intern, I have helped develop the following projects (in the order following the most recent with the older ones):
• >>𝗙𝗔𝗖𝗜𝗔𝗟 𝗔𝗡𝗔𝗟𝗬𝗦𝗜𝗦 (𝗘𝗠𝗢𝗧𝗜𝗢𝗡-𝗗𝗘𝗧𝗘𝗖𝗧𝗜𝗢𝗡) 𝗜𝗡 𝗔 𝗩𝗜𝗗𝗘𝗢 using 𝘼𝙢𝙖𝙯𝙤𝙣 𝙍𝙚𝙠𝙤𝙜𝙣𝙞𝙩𝙞𝙤𝙣 , 𝙗𝙤𝙩𝙤𝟑 𝙡𝙞𝙗𝙧𝙖𝙧𝙮, 𝙎𝟑 𝙗𝙪𝙘𝙠𝙚𝙩 𝙖𝙣𝙙 𝙋𝙮𝙩𝙝𝙤𝙣
• >>𝗧𝗘𝗫𝗧-𝗧𝗢-𝗦𝗣𝗘𝗘𝗖𝗛 𝗖𝗢𝗡𝗩𝗘𝗥𝗦𝗜𝗢𝗡
• where I worked with Amazon Web Services to generate real-time speech from text 𝙪𝙨𝙞𝙣𝙜 𝘼𝙢𝙖𝙯𝙤𝙣 𝙋𝙤𝙡𝙡𝙮, 𝙇𝙖𝙢𝙗𝙙𝙖 𝙁𝙪𝙣𝙘𝙩𝙞𝙤𝙣𝙨, 𝙎𝙉𝙎, 𝘿𝙮𝙣𝙖𝙢𝙤𝘿𝘽 𝙩𝙖𝙗𝙡𝙚 𝙖𝙣𝙙 𝙎𝟑 𝙗𝙪𝙘𝙠𝙚𝙩 - ultimately generating a 𝙍𝙀𝙎𝙏𝙛𝙪𝙡 𝘼𝙋𝙄 which could finally be deployed to convert text into speech for our application using 𝗚𝗘𝗧/𝗣𝗢𝗦𝗧 methods.
• >>𝗠𝗨𝗟𝗧𝗜𝗖𝗟𝗔𝗦𝗦 𝗖𝗔𝗧𝗘𝗚𝗢𝗥𝗜𝗭𝗔𝗧𝗜𝗢𝗡 (𝙇𝙤𝙜𝙞𝙘𝙖𝙡 𝙍𝙚𝙜𝙧𝙚𝙨𝙨𝙞𝙤𝙣 : 𝙤𝙣𝙚 𝙑𝙎 𝙧𝙚𝙨𝙩 𝙨𝙘𝙝𝙚𝙢𝙚) 𝙪𝙨𝙞𝙣𝙜 𝙎𝙥𝙖𝘾𝙮, 𝙎𝙘𝙞𝙠𝙞𝙩-𝙡𝙚𝙖𝙧𝙣, 𝙖𝙣𝙙 𝙋𝙖𝙣𝙙𝙖𝙨 where I compared various categorization models and ultimately applied Logical regression to train a machine learning model which predicted the categories of real-time news items from the RSS-feed and classified them accordingly.
• >>𝗧𝗘𝗫𝗧 𝗧𝗥𝗔𝗡𝗦𝗟𝗔𝗧𝗜𝗢𝗡 using 𝙂𝙤𝙤𝙜𝙡𝙚 𝙏𝙧𝙖𝙣𝙨𝙡𝙖𝙩𝙚 𝘼𝙋𝙄, 𝙈𝙮𝙎𝙦𝙡 𝘿𝙖𝙩𝙖𝙗𝙖𝙨𝙚 𝙖𝙣𝙙 𝙋𝙮𝙩𝙝𝙤𝙣
• where I helped translate English news articles into multiple languages- encouraging a friendly and personalized interface for the users.
• Later, I integrated the same with 𝘼𝙢𝙖𝙯𝙤𝙣 𝙏𝙧𝙖𝙣𝙨𝙡𝙖𝙩𝙚 for better, optimized results.
• The above projects have helped me understand how various Machine learning APIs work and further taught me to integrate them along with various Python tools and libraries for the optimization of the rss-feed.
• (Also exploring Audio Visualisation with a vision to help make the audio podcast more attractive and user-friendly.)